Journal of Infrastructure Intelligence and Resilience最新文献_第4页

Bayesian mixture of factor analyzers for structural damage detection under varying environmental conditions 基于贝叶斯混合因子的结构损伤检测

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2025-01-06 DOI: 10.1016/j.iintel.2025.100140

Binbin Li , Yulong Zhang , Zihan Liao , Zhilin Xue

Variations of structural dynamic parameters (e.g., frequencies and damping ratios) can be caused by potential structural damages and environmental effects (e.g., temperature, humidity). It is of critical importance to distinguish them for a reliable vibration-based damage detection. A variational Bayesian mixture of factor analyzers (VB-MFA) is proposed in this paper for the probabilistic modeling of measured natural frequencies. It contains multiple factor analyzers to accommodate the nonlinear effect of environmental factors on the natural frequencies. The variational Bayes with automatic relevance determination prior empowers it to automatically determine the number of analyzers and the dimension of latent factors in each analyzer. In addition, the predictive marginal likelihood of natural frequencies is proposed as a damage index, which naturally considers the uncertainties in latent factors and estimated parameters. The method is verified in two case studies: a laboratory eight-story shear-type building model and the Z24-Bridge, both subjected to temperature variations. It shows that better performance has been achieved comparing to the conventional factor analysis and mixture of factor analyzers. The VB-MFA is capable to model the nonlinear effect of environmental effect on natural frequencies, and improves the accuracy of vibration-based structural damage detection.

结构动态参数（如频率和阻尼比）的变化可能由潜在的结构损坏和环境影响（如温度、湿度）引起。区分它们对于可靠的基于振动的损伤检测至关重要。本文提出了一种变分贝叶斯混合因子分析法（VB-MFA），用于测量固有频率的概率建模。它包含多因素分析仪，以适应环境因素对固有频率的非线性影响。具有自动关联确定先验的变分贝叶斯能够自动确定分析器的数量和每个分析器中潜在因素的维度。此外，提出了固有频率的预测边际似然作为损伤指标，自然地考虑了潜在因素和估计参数的不确定性。该方法在两个案例研究中得到验证：一个实验室八层剪切式建筑模型和z24桥，两者都受到温度变化的影响。结果表明，与传统因子分析和混合因子分析相比，该方法取得了更好的性能。VB-MFA能够模拟环境对固有频率的非线性影响，提高基于振动的结构损伤检测的精度。

{"title":"Bayesian mixture of factor analyzers for structural damage detection under varying environmental conditions","authors":"Binbin Li , Yulong Zhang , Zihan Liao , Zhilin Xue","doi":"10.1016/j.iintel.2025.100140","DOIUrl":"10.1016/j.iintel.2025.100140","url":null,"abstract":"<div><div>Variations of structural dynamic parameters (e.g., frequencies and damping ratios) can be caused by potential structural damages and environmental effects (e.g., temperature, humidity). It is of critical importance to distinguish them for a reliable vibration-based damage detection. A variational Bayesian mixture of factor analyzers (VB-MFA) is proposed in this paper for the probabilistic modeling of measured natural frequencies. It contains multiple factor analyzers to accommodate the nonlinear effect of environmental factors on the natural frequencies. The variational Bayes with automatic relevance determination prior empowers it to automatically determine the number of analyzers and the dimension of latent factors in each analyzer. In addition, the predictive marginal likelihood of natural frequencies is proposed as a damage index, which naturally considers the uncertainties in latent factors and estimated parameters. The method is verified in two case studies: a laboratory eight-story shear-type building model and the Z24-Bridge, both subjected to temperature variations. It shows that better performance has been achieved comparing to the conventional factor analysis and mixture of factor analyzers. The VB-MFA is capable to model the nonlinear effect of environmental effect on natural frequencies, and improves the accuracy of vibration-based structural damage detection.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 2","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Few-shot learning with large foundation models for automated segmentation and accessibility analysis in architectural floor plans 在建筑平面图中进行自动分割和可访问性分析的大型基础模型的少量学习

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-12-17 DOI: 10.1016/j.iintel.2024.100137

Haolan Zhang, Ruichuan Zhang

This paper presents a novel approach for extracting accessibility features from 2D raster floor plans by integrating few-shot learning techniques with the Segment Anything Model (SAM) and GPT-4. The proposed method addresses the limitations of existing deep learning-based floor plan analysis, which often require extensive annotated datasets and struggle with the variability of raster floor plans. Furthermore, there is a lack of research on extracting accessibility features from 2D raster floor plans, which remain one of the most common formats for storing architectural plans post-design and construction. Our approach, GPT-integrated Multi-object Few-shot SAM (GMFS), leverages similarity maps and cluster-based point sampling to generate accurate visual prompts for SAM, enabling the segmentation of rooms and doors using only five reference samples. The segmented masks are then classified using GPT-4, enhancing the semantic richness of the floor plan analysis. We validated GMFS using the CubiCasa and Rent3D datasets, demonstrating impressive performance in segmentation and classification. A detailed case study further showcased the practical application of our approach in calculating accessible means of egress and wheelchair clear space, which are critical features for accessibility compliance. The results highlight the effectiveness and adaptability of our approach in real-world scenarios, underscoring its potential to improve building accessibility and safety analysis in the architecture, engineering, and construction (AEC) industry.

本文提出了一种结合分段任意模型（SAM）和GPT-4的少镜头学习技术，从二维栅格平面图中提取可达性特征的新方法。提出的方法解决了现有基于深度学习的平面图分析的局限性，这些分析通常需要大量带注释的数据集，并且与栅格平面图的可变性作抗争。此外，从二维栅格平面图中提取可达性特征的研究较少，而二维栅格平面图仍然是建筑平面图后期设计和施工中最常用的存储格式之一。我们的方法，gpt集成的多目标少镜头SAM (GMFS)，利用相似性地图和基于聚类的点采样为SAM生成准确的视觉提示，仅使用五个参考样本就可以分割房间和门。然后使用GPT-4对分割的掩模进行分类，增强了平面图分析的语义丰富性。我们使用CubiCasa和Rent3D数据集验证了GMFS，在分割和分类方面表现出令人印象深刻的性能。一个详细的案例研究进一步展示了我们的方法在计算无障碍出口和轮椅空间方面的实际应用，这些都是符合无障碍标准的关键特征。结果突出了我们的方法在现实场景中的有效性和适应性，强调了它在建筑、工程和施工（AEC）行业中改善建筑物可达性和安全分析的潜力。

{"title":"Few-shot learning with large foundation models for automated segmentation and accessibility analysis in architectural floor plans","authors":"Haolan Zhang, Ruichuan Zhang","doi":"10.1016/j.iintel.2024.100137","DOIUrl":"10.1016/j.iintel.2024.100137","url":null,"abstract":"<div><div>This paper presents a novel approach for extracting accessibility features from 2D raster floor plans by integrating few-shot learning techniques with the Segment Anything Model (SAM) and GPT-4. The proposed method addresses the limitations of existing deep learning-based floor plan analysis, which often require extensive annotated datasets and struggle with the variability of raster floor plans. Furthermore, there is a lack of research on extracting accessibility features from 2D raster floor plans, which remain one of the most common formats for storing architectural plans post-design and construction. Our approach, GPT-integrated Multi-object Few-shot SAM (GMFS), leverages similarity maps and cluster-based point sampling to generate accurate visual prompts for SAM, enabling the segmentation of rooms and doors using only five reference samples. The segmented masks are then classified using GPT-4, enhancing the semantic richness of the floor plan analysis. We validated GMFS using the CubiCasa and Rent3D datasets, demonstrating impressive performance in segmentation and classification. A detailed case study further showcased the practical application of our approach in calculating accessible means of egress and wheelchair clear space, which are critical features for accessibility compliance. The results highlight the effectiveness and adaptability of our approach in real-world scenarios, underscoring its potential to improve building accessibility and safety analysis in the architecture, engineering, and construction (AEC) industry.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 2","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent control of structural vibrations based on deep reinforcement learning 基于深度强化学习的结构振动智能控制

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-12-15 DOI: 10.1016/j.iintel.2024.100136

Xuekai Guo, Pengfei Lin, Qiulei Wang, Gang Hu

This paper explores the application of Deep Reinforcement Learning (DRL) in structural vibration control, aiming to achieve effective control of the dynamic response of building structures during natural disasters such as earthquakes. A DRL-based control strategy is proposed, and dynamic interaction between the OpenSees environment and the deep reinforcement learning environment is realized. By adjusting the parameters in the reward function, the control preference of the DRL algorithm for different metrics can be effectively modified. Additionally, an intelligent structural vibration control platform based on DRL has been developed to simplify the design process of DRL algorithms. Case studies conducted on the platform demonstrate that DRL can effectively suppress structural responses in both single-layer and multi-layer complex structures. Meanwhile, comparisons with PID and LQR algorithms that are based on linear analysis design, reveal the stability advantages of DRL in handling structural dynamic responses characterized by high nonlinearity, time delay, and large actuator output intervals.

本文探讨了深度强化学习（Deep Reinforcement Learning， DRL）在结构振动控制中的应用，旨在有效控制建筑结构在地震等自然灾害下的动力响应。提出了一种基于drl的控制策略，实现了OpenSees环境与深度强化学习环境的动态交互。通过调整奖励函数中的参数，可以有效地修改DRL算法对不同指标的控制偏好。此外，开发了基于DRL的智能结构振动控制平台，简化了DRL算法的设计过程。在平台上进行的实例研究表明，DRL可以有效地抑制单层和多层复杂结构的结构响应。同时，通过与基于线性分析设计的PID和LQR算法的比较，揭示了DRL在处理高非线性、时滞和大执行器输出区间的结构动态响应方面的稳定性优势。

{"title":"Intelligent control of structural vibrations based on deep reinforcement learning","authors":"Xuekai Guo, Pengfei Lin, Qiulei Wang, Gang Hu","doi":"10.1016/j.iintel.2024.100136","DOIUrl":"10.1016/j.iintel.2024.100136","url":null,"abstract":"<div><div>This paper explores the application of Deep Reinforcement Learning (DRL) in structural vibration control, aiming to achieve effective control of the dynamic response of building structures during natural disasters such as earthquakes. A DRL-based control strategy is proposed, and dynamic interaction between the OpenSees environment and the deep reinforcement learning environment is realized. By adjusting the parameters in the reward function, the control preference of the DRL algorithm for different metrics can be effectively modified. Additionally, an intelligent structural vibration control platform based on DRL has been developed to simplify the design process of DRL algorithms. Case studies conducted on the platform demonstrate that DRL can effectively suppress structural responses in both single-layer and multi-layer complex structures. Meanwhile, comparisons with PID and LQR algorithms that are based on linear analysis design, reveal the stability advantages of DRL in handling structural dynamic responses characterized by high nonlinearity, time delay, and large actuator output intervals.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 2","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractal-based numerical simulation of multivariate typhoon wind speeds utilizing weierstrass mandelbrot function 基于weierstrass mandelbrot函数的多变量台风风速分形数值模拟

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-11-22 DOI: 10.1016/j.iintel.2024.100135

Kang Cai , Mingfeng Huang , Qiang Li , Qing Wang , Yi-Qing Ni

This paper proposes a fractal-based technique for simulating multivariate nonstationary wind fields by the stochastic Weierstrass Mandelbrot function. Upon conducting a systematic fractal analysis, it was found that the structure function method is more suitable and reliable than the box counting method, variation method, and R/S analysis method for estimating the fractal dimension of the stochastic wind speed series. Wind field measurement at the meteorological gradient tower with a height of 356 m in Shenzhen was conducted during Typhoon Mandelbrot (1983). Significant non-stationary properties and fractal dimensions of typhoon wind speed data at various heights were analyzed and used to demonstrate the effectiveness of the proposed multivariate typhoon wind speed simulation method. The multivariate wind speed components simulated by the proposed fractal-based method are in good agreement with the measured records in terms of the fractal dimension, standard deviation, probability density function, wind spectrum and cross-correlation coefficient.

本文提出了一种基于分形的随机Weierstrass Mandelbrot函数模拟多变量非平稳风场的方法。通过系统的分形分析，发现结构函数法比箱计数法、变分法和R/S分析法更适合和可靠地估计随机风速序列的分形维数。在1983年台风“曼德布洛特”期间，在深圳海拔356 m的气象梯度塔上进行了风场测量。分析了不同高度台风风速数据的显著非平稳特性和分形维数，验证了多元台风风速模拟方法的有效性。基于分形方法模拟的多变量风速分量在分形维数、标准差、概率密度函数、风谱和相互关系系数等方面与实测记录吻合较好。

{"title":"Fractal-based numerical simulation of multivariate typhoon wind speeds utilizing weierstrass mandelbrot function","authors":"Kang Cai , Mingfeng Huang , Qiang Li , Qing Wang , Yi-Qing Ni","doi":"10.1016/j.iintel.2024.100135","DOIUrl":"10.1016/j.iintel.2024.100135","url":null,"abstract":"<div><div>This paper proposes a fractal-based technique for simulating multivariate nonstationary wind fields by the stochastic Weierstrass Mandelbrot function. Upon conducting a systematic fractal analysis, it was found that the structure function method is more suitable and reliable than the box counting method, variation method, and R/S analysis method for estimating the fractal dimension of the stochastic wind speed series. Wind field measurement at the meteorological gradient tower with a height of 356 m in Shenzhen was conducted during Typhoon Mandelbrot (1983). Significant non-stationary properties and fractal dimensions of typhoon wind speed data at various heights were analyzed and used to demonstrate the effectiveness of the proposed multivariate typhoon wind speed simulation method. The multivariate wind speed components simulated by the proposed fractal-based method are in good agreement with the measured records in terms of the fractal dimension, standard deviation, probability density function, wind spectrum and cross-correlation coefficient.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 2","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new method for predicting PM2.5 concentrations in subway stations based on a multiscale adaptive noise reduction transformer -BiGRU model and an error correction method 基于多尺度自适应降噪变压器-BiGRU模型和误差修正方法的地铁站点PM2.5浓度预测新方法

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-11-17 DOI: 10.1016/j.iintel.2024.100128

Dingyu Chen, Hui Liu

PM2.5 is a significant contributor to air pollution, with a notable impact on human health. Subway stations, with their high pedestrian traffic, present a particular challenge in this regard. By monitoring PM2.5 levels, subway managers can take prompt action, such as optimizing the operation of air purification equipment in stations, to enhance air quality within stations and thereby enhance the passenger experience. This paper proposes an enhanced Transformer-BiGRU prediction model, which incorporates a MSHAM(Multiscale Hybrid Attention Mechanism)comprising a multi-scale convolutional attention mechanism and a VMD decomposition self-attention mechanism. Additionally, a ANR(Adaptive Noise Reduction) module has been integrated into the model to facilitate noise reduction. Finally, the prediction is performed by BiGRU. The resulting error sequence is predicted by BiGRU and the predicted sequence is corrected. In this paper, a dataset of pollutants from Seoul subway stations in South Korea is used to compare with the base model. The model presented in this paper achieves the highest accuracy.

PM2.5是造成空气污染的重要因素，对人体健康有显著影响。地铁站的行人流量很大，在这方面提出了一个特别的挑战。通过监测PM2.5水平，地铁管理者可以及时采取行动，例如优化车站空气净化设备的运行，以改善车站内的空气质量，从而改善乘客体验。本文提出了一种增强的Transformer-BiGRU预测模型，该模型融合了由多尺度卷积注意机制和VMD分解自注意机制组成的多尺度混合注意机制（MSHAM）。此外，ANR（自适应降噪）模块已集成到模型中，以促进降噪。最后利用BiGRU进行预测。由BiGRU预测得到的误差序列，并对预测的序列进行校正。本文使用韩国首尔地铁站的污染物数据集与基础模型进行比较。本文提出的模型达到了最高的精度。

{"title":"A new method for predicting PM2.5 concentrations in subway stations based on a multiscale adaptive noise reduction transformer -BiGRU model and an error correction method","authors":"Dingyu Chen, Hui Liu","doi":"10.1016/j.iintel.2024.100128","DOIUrl":"10.1016/j.iintel.2024.100128","url":null,"abstract":"<div><div>PM2.5 is a significant contributor to air pollution, with a notable impact on human health. Subway stations, with their high pedestrian traffic, present a particular challenge in this regard. By monitoring PM2.5 levels, subway managers can take prompt action, such as optimizing the operation of air purification equipment in stations, to enhance air quality within stations and thereby enhance the passenger experience. This paper proposes an enhanced Transformer-BiGRU prediction model, which incorporates a MSHAM(Multiscale Hybrid Attention Mechanism)comprising a multi-scale convolutional attention mechanism and a VMD decomposition self-attention mechanism. Additionally, a ANR(Adaptive Noise Reduction) module has been integrated into the model to facilitate noise reduction. Finally, the prediction is performed by BiGRU. The resulting error sequence is predicted by BiGRU and the predicted sequence is corrected. In this paper, a dataset of pollutants from Seoul subway stations in South Korea is used to compare with the base model. The model presented in this paper achieves the highest accuracy.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 1","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143130220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review on optimization strategies of probabilistic diagnostic imaging methods 概率成像诊断方法的优化策略综述

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-10-22 DOI: 10.1016/j.iintel.2024.100127

Ning Li , Anningjing Li , Jiangfeng Sun

With the continuous development of intelligent infrastructure, structural health monitoring (SHM) and non-destructive testing (NDT) have become major research focuses. Ultrasonic-guided wave imaging technology not only integrates the global impact of damage on structures but also provides intuitive localization and severity characterization of the damage. Probabilistic diagnostic imaging (PDI) methods, which do not require direct interpretation of guided wave signals and can achieve high-quality imaging with sparse arrays, have garnered increasing attention. This paper introduces the principles, general processes, and technical advantages of PDI methods. Based on the process of the PDI, existing optimization strategies are categorized into two types: internal process optimizations, which include sensor layout, damage indices optimization, construction of the distribution weight function, and data fusion; and external process optimizations, which include spurious image suppression, on-site environment detection, and integration of methodologies, each analyzed in detail. With the affirmation of the value of these strategies, this paper also highlights the current issues within these methods and explores potential future developments by integrating emerging technologies such as intelligent sensing, big data, and artificial intelligence. These insights provide valuable reference suggestions for the continued optimization of these methods.

随着智能基础设施的不断发展，结构健康监测（SHM）和无损检测（NDT）已成为研究重点。超声波导波成像技术不仅能综合分析损伤对结构的整体影响，还能对损伤进行直观的定位和严重程度鉴定。概率诊断成像（PDI）方法不需要直接解释导波信号，而且可以利用稀疏阵列实现高质量成像，因此受到越来越多的关注。本文介绍了 PDI 方法的原理、一般过程和技术优势。根据 PDI 的流程，将现有的优化策略分为两类：一类是内部流程优化，包括传感器布局、损伤指数优化、分布权重函数构建和数据融合；另一类是外部流程优化，包括虚假图像抑制、现场环境检测和方法集成，并分别进行了详细分析。在肯定这些策略价值的同时，本文还强调了这些方法目前存在的问题，并结合智能传感、大数据和人工智能等新兴技术，探讨了未来的发展潜力。这些见解为继续优化这些方法提供了宝贵的参考建议。

{"title":"Review on optimization strategies of probabilistic diagnostic imaging methods","authors":"Ning Li , Anningjing Li , Jiangfeng Sun","doi":"10.1016/j.iintel.2024.100127","DOIUrl":"10.1016/j.iintel.2024.100127","url":null,"abstract":"<div><div>With the continuous development of intelligent infrastructure, structural health monitoring (SHM) and non-destructive testing (NDT) have become major research focuses. Ultrasonic-guided wave imaging technology not only integrates the global impact of damage on structures but also provides intuitive localization and severity characterization of the damage. Probabilistic diagnostic imaging (PDI) methods, which do not require direct interpretation of guided wave signals and can achieve high-quality imaging with sparse arrays, have garnered increasing attention. This paper introduces the principles, general processes, and technical advantages of PDI methods. Based on the process of the PDI, existing optimization strategies are categorized into two types: internal process optimizations, which include sensor layout, damage indices optimization, construction of the distribution weight function, and data fusion; and external process optimizations, which include spurious image suppression, on-site environment detection, and integration of methodologies, each analyzed in detail. With the affirmation of the value of these strategies, this paper also highlights the current issues within these methods and explores potential future developments by integrating emerging technologies such as intelligent sensing, big data, and artificial intelligence. These insights provide valuable reference suggestions for the continued optimization of these methods.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 1","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An integrated management system (IMS) approach to sustainable construction development and management 可持续建筑开发和管理的综合管理系统（IMS）方法

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-10-18 DOI: 10.1016/j.iintel.2024.100126

Ahsan Waqar , Saad Nisar , Muhammad Muddassir , Omrane Benjeddou

Construction is significantly contributing to the severe environmental crisis it is facing. The sector consumes over 3 billion tons of raw materials annually, and its activities account for 40% of global CO₂ emissions. Traditional integrated strategies toward fragmented sustainability cannot offer total optimization. In this respect, the present research presents an integrated management system (IMS) containing a composite of metrics for sustainable construction management (SCM). This research was specifically geared to test the relationship between the elements of IMS and SCM from the perspective of the construction industry. A quantitative survey tested through 119 professionals was used for data collection. It is established through structural equation modeling (SEM) that the internal consistency of Cronbach’s Alpha 0.72–0.95 and construct validity was strong. The Fornell-Larcker criterion was realized to affirm good discriminant validity. Crucial results identified the presence of significant impacts for quality management (QM) (β = 0.643, p < 0.001), risk management (RM) (β = 0.53, p < 0.001), and safety management (SM) (β = 0.439, p < 0.001). Therefore, this study further enhances the scalability of IMS so that it is practically applied to improve project quality and safety, along with risk management. Future research could also focus on studying the context of the integration of IMS with SCM and continue to work using objective performance measures to validate these findings.

建筑业是造成严重环境危机的重要因素。该行业每年消耗的原材料超过 30 亿吨，其活动排放的二氧化碳占全球总量的 40%。传统的可持续发展综合战略无法实现全面优化。为此，本研究提出了一种综合管理系统（IMS），其中包含可持续建筑管理（SCM）的综合指标。本研究专门从建筑行业的角度出发，测试 IMS 要素与 SCM 之间的关系。数据收集采用了一项定量调查，对 119 名专业人员进行了测试。通过结构方程模型（SEM）确定了 Cronbach's Alpha 0.72-0.95 的内部一致性和较强的构造效度。Fornell-Larcker 标准确认了良好的判别效度。重要结果表明，质量管理（QM）（β = 0.643，p < 0.001）、风险管理（RM）（β = 0.53，p < 0.001）和安全管理（SM）（β = 0.439，p < 0.001）存在显著影响。因此，本研究进一步提高了 IMS 的可扩展性，使其能够在风险管理的同时，切实用于提高项目质量和安全。未来的研究还可以重点研究 IMS 与 SCM 整合的背景，并继续使用客观的绩效衡量标准来验证这些发现。

{"title":"An integrated management system (IMS) approach to sustainable construction development and management","authors":"Ahsan Waqar , Saad Nisar , Muhammad Muddassir , Omrane Benjeddou","doi":"10.1016/j.iintel.2024.100126","DOIUrl":"10.1016/j.iintel.2024.100126","url":null,"abstract":"<div><div>Construction is significantly contributing to the severe environmental crisis it is facing. The sector consumes over 3 billion tons of raw materials annually, and its activities account for 40% of global CO<sub>2</sub> emissions. Traditional integrated strategies toward fragmented sustainability cannot offer total optimization. In this respect, the present research presents an integrated management system (IMS) containing a composite of metrics for sustainable construction management (SCM). This research was specifically geared to test the relationship between the elements of IMS and SCM from the perspective of the construction industry. A quantitative survey tested through 119 professionals was used for data collection. It is established through structural equation modeling (SEM) that the internal consistency of Cronbach’s Alpha 0.72–0.95 and construct validity was strong. The Fornell-Larcker criterion was realized to affirm good discriminant validity. Crucial results identified the presence of significant impacts for quality management (QM) (β = 0.643, <em>p</em> < 0.001), risk management (RM) (β = 0.53, <em>p</em> < 0.001), and safety management (SM) (β = 0.439, <em>p</em> < 0.001). Therefore, this study further enhances the scalability of IMS so that it is practically applied to improve project quality and safety, along with risk management. Future research could also focus on studying the context of the integration of IMS with SCM and continue to work using objective performance measures to validate these findings.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 1","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability-based safety format for structural fire engineering – Derivation based on the most likely failure point 结构消防工程的基于可靠性的安全格式。基于最可能失效点的推导

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-10-18 DOI: 10.1016/j.iintel.2024.100125

Ruben Van Coile, Balša Jovanović, Florian Put

Designing structures for burnout resistance ensures stability during evacuation and search and rescue operations, limits collateral damage, and enhances post-fire repairability. This represents a significant shift from traditional prescriptive designs that do not evaluate performance under realistic fire conditions. However, given the variability in fire exposure and structural response, it is unclear which input values should be used to ensure a high level of reliability for burnout calculations. This paper introduces a safety format for burnout resistance compatible with the Eurocode and its reliability principles. The format allows users to specify desired reliability levels and prescribes equations for determining design values for load effects and fire load density using predetermined sensitivity weights. A method for calculating default sensitivity weights is outlined, proposing tentative values: 0.65 for resistance effect, −0.40 for load effect, and −0.80 for fire load density, with a default coefficient of variation of 0.30 for resistance effect when case-specific information is lacking. The safety format's performance is verified through case studies of a concrete slab and a numerical evaluation of a steel column, showing satisfactory and conservatively assessed results. Inherent conservatism in the design format may, however, occasionally lead to the undue rejection of designs. Further investigations are necessary to confirm the safety format's conceptualization, default sensitivity weights, and the influence of the adopted compartment fire model.

设计抗燃结构可确保疏散和搜救行动中的稳定性，限制附带损害，并提高火灾后的可修复性。这代表了传统规范设计的重大转变，这些设计不评估实际火灾条件下的性能。然而，考虑到火灾暴露和结构反应的可变性，目前尚不清楚应该使用哪些输入值来确保燃尽计算的高可靠性。本文介绍了一种符合欧洲规范的耐烧毁安全格式及其可靠性原则。该格式允许用户指定所需的可靠性水平，并规定了使用预定灵敏度权重确定负载影响和火灾负载密度的设计值的公式。本文概述了一种计算默认敏感性权重的方法，提出了暂定值：电阻效应为0.65，负载效应为- 0.40，火灾负荷密度为- 0.80，当缺乏具体情况信息时，电阻效应的默认变异系数为0.30。通过混凝土板的实例研究和钢柱的数值评估，验证了该安全格式的性能，得出了令人满意和保守的评估结果。然而，设计格式中固有的保守性偶尔会导致设计的不当拒绝。需要进一步的研究来确定安全格式的概念、默认敏感性权重以及所采用的隔室火灾模型的影响。

{"title":"Reliability-based safety format for structural fire engineering – Derivation based on the most likely failure point","authors":"Ruben Van Coile, Balša Jovanović, Florian Put","doi":"10.1016/j.iintel.2024.100125","DOIUrl":"10.1016/j.iintel.2024.100125","url":null,"abstract":"<div><div>Designing structures for burnout resistance ensures stability during evacuation and search and rescue operations, limits collateral damage, and enhances post-fire repairability. This represents a significant shift from traditional prescriptive designs that do not evaluate performance under realistic fire conditions. However, given the variability in fire exposure and structural response, it is unclear which input values should be used to ensure a high level of reliability for burnout calculations. This paper introduces a safety format for burnout resistance compatible with the Eurocode and its reliability principles. The format allows users to specify desired reliability levels and prescribes equations for determining design values for load effects and fire load density using predetermined sensitivity weights. A method for calculating default sensitivity weights is outlined, proposing tentative values: 0.65 for resistance effect, −0.40 for load effect, and −0.80 for fire load density, with a default coefficient of variation of 0.30 for resistance effect when case-specific information is lacking. The safety format's performance is verified through case studies of a concrete slab and a numerical evaluation of a steel column, showing satisfactory and conservatively assessed results. Inherent conservatism in the design format may, however, occasionally lead to the undue rejection of designs. Further investigations are necessary to confirm the safety format's conceptualization, default sensitivity weights, and the influence of the adopted compartment fire model.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 1","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143130219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative risk analysis of road transportation of hazardous materials in coastal areas 沿海地区危险品公路运输的定量风险分析

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-09-08 DOI: 10.1016/j.iintel.2024.100124

Daijie Chen , Xiyong Bai

Given the complex climate conditions in coastal areas and their role as key transportation hubs for hazardous chemicals, this study proposes a method to quantitatively and comprehensively evaluate transportation risks. Initially, accident data were analyzed to identify risk factors from five aspects: human, vehicle, materials, environment, and management, based on system safety theory. Subsequently, a risk analysis model was developed using Decision-making Trial and Evaluation Laboratory, interpretive structural model theory, and Bayesian theory to quantitatively assess accident risk levels. The model was applied to a case involving a hazardous chemical accident on a cross-sea bridge, where Bayesian backward reasoning was used to analyze the sensitivity and importance of risk factors. This approach facilitated the key risk factors affecting the safety of hazardous chemical transportation systems. Notably, the study incorporated scenarios involving hazardous material transport vehicles crossing sea bridges into the risk assessment framework, offering valuable insights for management authorities. It also considered the impact of strong side winds-a factor often overlooked-in hazardous material transport. The validation process demonstrated that the method accurately quantifies the risk of hazardous chemical transportation and identifies the key factors influencing accident occurrence. The research highlights that strong gusts of wind significantly impact safety, and human factors are crucial in the overall risk system.

鉴于沿海地区复杂的气候条件及其作为危险化学品重要运输枢纽的作用，本研究提出了一种定量、全面评估运输风险的方法。首先，基于系统安全理论，对事故数据进行分析，从人、车、物、环境和管理五个方面识别风险因素。随后，利用决策试验与评估实验室、解释性结构模型理论和贝叶斯理论建立了风险分析模型，对事故风险等级进行定量评估。该模型被应用于跨海大桥危险化学品事故案例中，利用贝叶斯逆向推理分析风险因素的敏感性和重要性。这种方法有助于找出影响危险化学品运输系统安全的关键风险因素。值得注意的是，该研究将涉及危险品运输车辆穿越海上桥梁的情景纳入了风险评估框架，为管理部门提供了宝贵的见解。研究还考虑了强侧风的影响--这是危险品运输中经常被忽视的一个因素。验证过程表明，该方法可以准确量化危险化学品运输的风险，并确定影响事故发生的关键因素。研究强调，强阵风对安全有重大影响，而人的因素在整个风险系统中至关重要。

{"title":"Quantitative risk analysis of road transportation of hazardous materials in coastal areas","authors":"Daijie Chen , Xiyong Bai","doi":"10.1016/j.iintel.2024.100124","DOIUrl":"10.1016/j.iintel.2024.100124","url":null,"abstract":"<div><p>Given the complex climate conditions in coastal areas and their role as key transportation hubs for hazardous chemicals, this study proposes a method to quantitatively and comprehensively evaluate transportation risks. Initially, accident data were analyzed to identify risk factors from five aspects: human, vehicle, materials, environment, and management, based on system safety theory. Subsequently, a risk analysis model was developed using Decision-making Trial and Evaluation Laboratory, interpretive structural model theory, and Bayesian theory to quantitatively assess accident risk levels. The model was applied to a case involving a hazardous chemical accident on a cross-sea bridge, where Bayesian backward reasoning was used to analyze the sensitivity and importance of risk factors. This approach facilitated the key risk factors affecting the safety of hazardous chemical transportation systems. Notably, the study incorporated scenarios involving hazardous material transport vehicles crossing sea bridges into the risk assessment framework, offering valuable insights for management authorities. It also considered the impact of strong side winds-a factor often overlooked-in hazardous material transport. The validation process demonstrated that the method accurately quantifies the risk of hazardous chemical transportation and identifies the key factors influencing accident occurrence. The research highlights that strong gusts of wind significantly impact safety, and human factors are crucial in the overall risk system.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"3 4","pages":"Article 100124"},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772991524000434/pdfft?md5=964f153c00429cfef1e5889999414f17&pid=1-s2.0-S2772991524000434-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal vortex-induced vibration mitigation and design approach of bistable nonlinear energy sink inerter on bridge structure 多模式涡流诱导振动缓解与桥梁结构双稳态非线性能量吸收器的设计方法

Journal of Infrastructure Intelligence and Resilience

Pub Date : 2024-09-07 DOI: 10.1016/j.iintel.2024.100123

Ruihong Xie , Kun Xu , Houjun Kang , Lin Zhao

Large-scale structures, e.g., long-span bridge structures, are prone to induce multi-modal vibrations due to their densely spaced low modal frequencies. Due to the limited frequency bandwidth of linear dynamic absorbers, they are incapable of effectively mitigating vibrations across multiple modes. To this end, the bistable nonlinear energy sink inerter (BNESI) is used to mitigate the multimodal vortex-induced vibration (VIV) of the beam structure. The highly nonlinear equilibrium differential equations of the beam-BNESI system are numerically solved, and the simulated annealing (SA) algorithm is employed to determine the optimal VIV reduction ratio and BNESI parameters. In comparison to the cubic-type nonlinear energy sink inerter (CNESI), BNESI is found to possess more stable equilibrium positions, smaller stiffness coefficients, and higher VIV mitigation efficiency. The selection of design modes has been found to influence the efficiency of multimodal VIV mitigation, with the use of the intermediate modal order as the design mode resulting in the highest efficiency for multimodal VIV mitigation. The performance-based multimodal VIV mitigation design can be realized with three parameters, i.e., inertance ratio, damping coefficient, and stiffness coefficient. Moreover, the performance-based multimodal VIV mitigation approach and models proposed in this study demonstrate a high level of precision.

大型结构（如大跨度桥梁结构）由于其密集的低模态频率，很容易引起多模态振动。由于线性动态吸收器的频率带宽有限，因此无法有效缓解多模态振动。为此，双稳态非线性能量吸收器（BNESI）被用于缓解梁结构的多模态涡致振动（VIV）。对梁-BNESI 系统的高度非线性平衡微分方程进行了数值求解，并采用模拟退火（SA）算法确定了最佳 VIV 减少率和 BNESI 参数。与立方型非线性能量吸收器（CNESI）相比，BNESI 具有更稳定的平衡位置、更小的刚度系数和更高的 VIV 缓解效率。研究发现，设计模式的选择会影响多模态 VIV 缓解的效率，使用中间模态阶数作为设计模式可获得最高的多模态 VIV 缓解效率。基于性能的多模态 VIV 缓解设计可以通过惰性比、阻尼系数和刚度系数这三个参数来实现。此外，本研究提出的基于性能的多模态 VIV 缓解方法和模型具有很高的精度。

{"title":"Multimodal vortex-induced vibration mitigation and design approach of bistable nonlinear energy sink inerter on bridge structure","authors":"Ruihong Xie , Kun Xu , Houjun Kang , Lin Zhao","doi":"10.1016/j.iintel.2024.100123","DOIUrl":"10.1016/j.iintel.2024.100123","url":null,"abstract":"<div><div>Large-scale structures, e.g., long-span bridge structures, are prone to induce multi-modal vibrations due to their densely spaced low modal frequencies. Due to the limited frequency bandwidth of linear dynamic absorbers, they are incapable of effectively mitigating vibrations across multiple modes. To this end, the bistable nonlinear energy sink inerter (BNESI) is used to mitigate the multimodal vortex-induced vibration (VIV) of the beam structure. The highly nonlinear equilibrium differential equations of the beam-BNESI system are numerically solved, and the simulated annealing (SA) algorithm is employed to determine the optimal VIV reduction ratio and BNESI parameters. In comparison to the cubic-type nonlinear energy sink inerter (CNESI), BNESI is found to possess more stable equilibrium positions, smaller stiffness coefficients, and higher VIV mitigation efficiency. The selection of design modes has been found to influence the efficiency of multimodal VIV mitigation, with the use of the intermediate modal order as the design mode resulting in the highest efficiency for multimodal VIV mitigation. The performance-based multimodal VIV mitigation design can be realized with three parameters, i.e., inertance ratio, damping coefficient, and stiffness coefficient. Moreover, the performance-based multimodal VIV mitigation approach and models proposed in this study demonstrate a high level of precision.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"3 4","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0