首页 > 最新文献

Sustainable and Resilient Infrastructure最新文献

英文 中文
The effect of ductility on the seismic collapse risk of residential steel moment-resisting frames at Alborz and Zagros Seismic zones, Iran 延性对伊朗Alborz和Zagros地震带住宅钢抗弯矩框架地震倒塌风险的影响
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2022-02-27 DOI: 10.1080/23789689.2022.2028595
A. Jafari, E. Rajabi, Gholamreza Ghodrati Amiri, S. A. R. Amrei
ABSTRACT In this paper, seismic hazard curves are selected for four different sites at Alborz and Zagros seismic zones with underlying conditions of soft and hard soil. Three residential steel moment-resisting frames (SMRFs) with 3, 5, and 7 stories are designed and modeled for each site to perform cloud analysis, implementing more than 300 far-field as-recorded ground motions. Using the results of regression-based cloud analysis, robust fragility curves are developed for each SMRF, and by combining the fragility curve with the hazard curve, the annual rate of collapse (i.e., collapse risk) is calculated for each SMRF. Furthermore, the important levels of peak ground acceleration (PGA) that greatly contribute to the collapse risk of each SMRF are obtained by exploiting the collapse deaggregation curves, which are composed up of fragility curves, derivative of hazard curves, and the annual rates of collapse. It was found that a strong correlation exists between ductility and the collapse risk of SMRFs at both seismic zones and underlying soil conditions, where increasing the ductility of SMRFs results in a decreased risk of collapse. It was also found that the important levels of the PGA contributing to the collapse risk of the SMRFs are inclined towards greater values as the ductility increases. The 5-storey SMRFs exhibited the least ductility and the highest collapse risk at both seismic zones and soil conditions, while the 3-storey SMRFs were the most ductile ones with the least risk of collapse.
摘要本文选取了Alborz和Zagros地震带四个不同场地的地震危险性曲线,其下伏条件为软土和硬土。为每个场地设计和建模了三个3层、5层和7层的住宅钢抗弯框架(SMRF),以进行云分析,实现了300多个远场记录的地面运动。利用基于回归的云分析结果,为每个SMRF制定了稳健的脆弱性曲线,并通过将脆弱性曲线与危险性曲线相结合,计算出每个SMRF的年坍塌率(即坍塌风险)。此外,通过利用由脆弱性曲线、危险曲线导数和年坍塌率组成的坍塌分解曲线,可以获得对每个SMRF的坍塌风险有很大贡献的重要峰值地面加速度(PGA)水平。研究发现,在地震带和下伏土壤条件下,SMRF的延性和坍塌风险之间存在很强的相关性,增加SMRF的延展性会降低坍塌风险。还发现,随着延性的增加,对SMRF坍塌风险有贡献的PGA的重要水平倾向于更大的值。在地震带和土壤条件下,5层SMRF表现出最低的延展性和最高的坍塌风险,而3层SMRF是延展性最强、坍塌风险最小的SMRF。
{"title":"The effect of ductility on the seismic collapse risk of residential steel moment-resisting frames at Alborz and Zagros Seismic zones, Iran","authors":"A. Jafari, E. Rajabi, Gholamreza Ghodrati Amiri, S. A. R. Amrei","doi":"10.1080/23789689.2022.2028595","DOIUrl":"https://doi.org/10.1080/23789689.2022.2028595","url":null,"abstract":"ABSTRACT In this paper, seismic hazard curves are selected for four different sites at Alborz and Zagros seismic zones with underlying conditions of soft and hard soil. Three residential steel moment-resisting frames (SMRFs) with 3, 5, and 7 stories are designed and modeled for each site to perform cloud analysis, implementing more than 300 far-field as-recorded ground motions. Using the results of regression-based cloud analysis, robust fragility curves are developed for each SMRF, and by combining the fragility curve with the hazard curve, the annual rate of collapse (i.e., collapse risk) is calculated for each SMRF. Furthermore, the important levels of peak ground acceleration (PGA) that greatly contribute to the collapse risk of each SMRF are obtained by exploiting the collapse deaggregation curves, which are composed up of fragility curves, derivative of hazard curves, and the annual rates of collapse. It was found that a strong correlation exists between ductility and the collapse risk of SMRFs at both seismic zones and underlying soil conditions, where increasing the ductility of SMRFs results in a decreased risk of collapse. It was also found that the important levels of the PGA contributing to the collapse risk of the SMRFs are inclined towards greater values as the ductility increases. The 5-storey SMRFs exhibited the least ductility and the highest collapse risk at both seismic zones and soil conditions, while the 3-storey SMRFs were the most ductile ones with the least risk of collapse.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"715 - 743"},"PeriodicalIF":5.9,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42590723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive transit scheduling to reduce rider vulnerability during heatwaves 自适应交通调度以减少热浪期间乘客的脆弱性
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2022-02-23 DOI: 10.1080/23789689.2022.2029324
Noam Rosenthal, M. Chester, Andrew M. Fraser, D. Hondula, D. Eisenman
ABSTRACT Extreme heat events induced by climate change present a growing risk to transit passenger comfort and health. To reduce exposure, agencies may consider changes to schedules that reduce headways on heavily trafficked bus routes serving vulnerable populations. This paper develops a schedule optimization model to minimize heat exposure and applies it to local bus services in Phoenix, Arizona, using agent-based simulation to inform travel demand and rider characteristics. Rerouting as little as 10% of a fleet is found to reduce network-wide exposure by as much as 35% when operating at maximum fleet capacity. Outcome improvements are notably characterized by diminishing returns, owing to skewed ridership and the inverse relationship between fleet size and passenger wait time. Access to spare vehicles can also ensure significant reductions in exposure, especially under the most extreme temperatures. Rerouting, therefore, presents a low-cost, adaptable resilience strategy to protect riders from extreme heat exposure.
摘要气候变化引发的极端高温事件对过境乘客的舒适度和健康构成了越来越大的风险。为了减少接触,各机构可能会考虑改变时间表,减少为弱势人群服务的交通繁忙的公交线路的行车时间。本文开发了一个最小化热暴露的时间表优化模型,并将其应用于亚利桑那州凤凰城的当地公交服务,使用基于代理的模拟来告知出行需求和乘客特征。当以最大车队容量运行时,车队只需重新安排10%的路线,就可以将整个网络的风险降低35%。结果改善的显著特点是回报递减,这是由于乘客量的偏差以及车队规模与乘客等待时间之间的反比关系。获得备用车辆也可以确保显著减少暴露,尤其是在最极端的温度下。因此,重新出发提供了一种低成本、适应性强的恢复策略,以保护骑手免受极端高温的影响。
{"title":"Adaptive transit scheduling to reduce rider vulnerability during heatwaves","authors":"Noam Rosenthal, M. Chester, Andrew M. Fraser, D. Hondula, D. Eisenman","doi":"10.1080/23789689.2022.2029324","DOIUrl":"https://doi.org/10.1080/23789689.2022.2029324","url":null,"abstract":"ABSTRACT Extreme heat events induced by climate change present a growing risk to transit passenger comfort and health. To reduce exposure, agencies may consider changes to schedules that reduce headways on heavily trafficked bus routes serving vulnerable populations. This paper develops a schedule optimization model to minimize heat exposure and applies it to local bus services in Phoenix, Arizona, using agent-based simulation to inform travel demand and rider characteristics. Rerouting as little as 10% of a fleet is found to reduce network-wide exposure by as much as 35% when operating at maximum fleet capacity. Outcome improvements are notably characterized by diminishing returns, owing to skewed ridership and the inverse relationship between fleet size and passenger wait time. Access to spare vehicles can also ensure significant reductions in exposure, especially under the most extreme temperatures. Rerouting, therefore, presents a low-cost, adaptable resilience strategy to protect riders from extreme heat exposure.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"744 - 755"},"PeriodicalIF":5.9,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47496191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of flooding on pavement performance: a machine learning-based network-level assessment 洪水对路面性能的影响:基于机器学习的网络级评估
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2022-02-22 DOI: 10.1080/23789689.2021.2017736
Moeid Shariatfar, Yong-Cheol Lee, Kunhee Choi, Minkyum Kim
ABSTRACT Catastrophic flood and hurricane events cause enormous adversarial impacts on roadways and their long-term performance. Despite the abundance of research attempting to understand the flood-induced damages, a critical knowledge gap in assessing roadway flood damage at a network-level exists. This study develops a holistic assessment model that evaluates network-level flood damage of roadways based on historic pavement distress data along with historic flood data. A rich volume of high-confidence historical pavement distress data was obtained from the Louisiana pavement management system. After a rigorous data pre-processing process by cross-referencing the flooded areas using the 2016 Louisiana flood map data, it was leveraged to analyze how flooding could interact with the pavement distress, thus affecting the overall performance of existing pavements. The study outcomes showed that the most flood-affected distress types include roughness and random cracking. Based on the findings from the analysis, this study developed a machine learning-based prediction method that can calculate future pavement performance after a flood event. After applying different algorithms for creating the prediction model, the eXtreme Gradient Boosting (XGB) classifier was selected because it represented the highest accuracy among other examined classifiers. Various datasets and scenarios were investigated with the developed prediction model to identify the most effective features and dataset combinations. The prediction model is expected to identify vulnerable pavement sections and facilitate network-level preventive maintenance of pavement to mitigate future flooding impacts by prioritizing resource allocations for maintenance and rehabilitation after a flood event.
摘要灾难性洪水和飓风事件对道路及其长期性能造成了巨大的不利影响。尽管有大量研究试图了解洪水造成的损失,但在网络层面评估道路洪水损失方面存在关键的知识差距。本研究开发了一个整体评估模型,根据历史路面破损数据和历史洪水数据评估道路网络级洪水损失。从路易斯安那州路面管理系统获得了大量的高置信度历史路面破损数据。通过使用2016年路易斯安那州洪水地图数据交叉引用洪水地区,经过严格的数据预处理过程,它被用来分析洪水如何与路面损坏相互作用,从而影响现有路面的整体性能。研究结果表明,受洪水影响最大的灾害类型包括粗糙度和随机开裂。基于分析结果,本研究开发了一种基于机器学习的预测方法,可以计算洪水事件后未来的路面性能。在应用不同的算法创建预测模型后,选择了极限梯度提升(XGB)分类器,因为它在其他被检查的分类器中表现出最高的准确性。使用开发的预测模型对各种数据集和场景进行了调查,以确定最有效的特征和数据集组合。该预测模型预计将识别易受影响的路面路段,并通过优先分配洪水事件后的维护和修复资源,促进路面的网络级预防性维护,以减轻未来的洪水影响。
{"title":"Effects of flooding on pavement performance: a machine learning-based network-level assessment","authors":"Moeid Shariatfar, Yong-Cheol Lee, Kunhee Choi, Minkyum Kim","doi":"10.1080/23789689.2021.2017736","DOIUrl":"https://doi.org/10.1080/23789689.2021.2017736","url":null,"abstract":"ABSTRACT Catastrophic flood and hurricane events cause enormous adversarial impacts on roadways and their long-term performance. Despite the abundance of research attempting to understand the flood-induced damages, a critical knowledge gap in assessing roadway flood damage at a network-level exists. This study develops a holistic assessment model that evaluates network-level flood damage of roadways based on historic pavement distress data along with historic flood data. A rich volume of high-confidence historical pavement distress data was obtained from the Louisiana pavement management system. After a rigorous data pre-processing process by cross-referencing the flooded areas using the 2016 Louisiana flood map data, it was leveraged to analyze how flooding could interact with the pavement distress, thus affecting the overall performance of existing pavements. The study outcomes showed that the most flood-affected distress types include roughness and random cracking. Based on the findings from the analysis, this study developed a machine learning-based prediction method that can calculate future pavement performance after a flood event. After applying different algorithms for creating the prediction model, the eXtreme Gradient Boosting (XGB) classifier was selected because it represented the highest accuracy among other examined classifiers. Various datasets and scenarios were investigated with the developed prediction model to identify the most effective features and dataset combinations. The prediction model is expected to identify vulnerable pavement sections and facilitate network-level preventive maintenance of pavement to mitigate future flooding impacts by prioritizing resource allocations for maintenance and rehabilitation after a flood event.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"695 - 714"},"PeriodicalIF":5.9,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42192776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Seismic risk analysis of a data communication network 数据通信网络的地震危险性分析
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2022-02-12 DOI: 10.1080/23789689.2021.2004646
S. Esposito, A. Botta, M. De Falco, Adriana Pacifico, E. Chioccarelli, A. Pescapé, A. Santo, I. Iervolino
ABSTRACT Data communication networks have large importance for the immediate post-earthquake emergency management and community resilience. In this study, the framework of simulation-based probabilistic seismic risk analysis of data communication infrastructure is applied to the real case of the inter-university data network of the Campania region (southern Italy). The network is constituted by point-like facilities (racks located within buildings and containing the device routing and managing traffic) and distributed links (buried fiber optic cables). The seismological, geological, and geotechnical features of the region were characterized together with the seismic vulnerability of each element of the network. The network performance is quantified in terms of traffic loss before and after the seismic event. Results are provided in terms of annual rate of events exceeding traffic loss thresholds and allow to identify the portion of the network mostly contributing to the seismic performance.
摘要数据通信网络对地震后应急管理和社区恢复能力具有重要意义。在本研究中,基于模拟的数据通信基础设施概率地震风险分析框架被应用于坎帕尼亚地区(意大利南部)大学间数据网络的真实案例。该网络由点状设施(位于建筑物内的机架,包含设备路由和管理流量)和分布式链路(埋地光纤电缆)组成。对该地区的地震学、地质和岩土工程特征以及网络各要素的地震脆弱性进行了表征。根据地震事件前后的流量损失来量化网络性能。根据超过交通损失阈值的年事件率提供结果,并允许识别网络中对地震性能最有贡献的部分。
{"title":"Seismic risk analysis of a data communication network","authors":"S. Esposito, A. Botta, M. De Falco, Adriana Pacifico, E. Chioccarelli, A. Pescapé, A. Santo, I. Iervolino","doi":"10.1080/23789689.2021.2004646","DOIUrl":"https://doi.org/10.1080/23789689.2021.2004646","url":null,"abstract":"ABSTRACT Data communication networks have large importance for the immediate post-earthquake emergency management and community resilience. In this study, the framework of simulation-based probabilistic seismic risk analysis of data communication infrastructure is applied to the real case of the inter-university data network of the Campania region (southern Italy). The network is constituted by point-like facilities (racks located within buildings and containing the device routing and managing traffic) and distributed links (buried fiber optic cables). The seismological, geological, and geotechnical features of the region were characterized together with the seismic vulnerability of each element of the network. The network performance is quantified in terms of traffic loss before and after the seismic event. Results are provided in terms of annual rate of events exceeding traffic loss thresholds and allow to identify the portion of the network mostly contributing to the seismic performance.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"655 - 672"},"PeriodicalIF":5.9,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46780801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Physics-based repair rate curves for segmented pipelines subject to seismic excitations 地震激励下分段管道的物理修复率曲线
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2022-01-30 DOI: 10.1080/23789689.2021.2000146
L. Iannacone, P. Gardoni
ABSTRACT Current approaches to assess the reliability and resilience of water infrastructure subject to seismic hazard typically use Repair Rate (RR) curves for the linear elements (pipelines), which estimate the expected number of repairs needed per unit length after the occurrence of an earthquake of a given intensity. The available RR curves are characterized by high levels of uncertainty being based primarily on expert judgment and on limited data. Also, they provide no distinction between the damage on the segments and on the joints. This paper develops probabilistic physics-based RR curves to quantify the damage to segmented pipelines due to earthquakes. First, a mechanical model for segmented pipelines is proposed. The model is then used to generate a set of synthetic data for the calibration of the model parameters. We compare the proposed RR curves with the ones available in the literature and discuss the advantages of the proposed model.
摘要当前评估遭受地震灾害的水利基础设施可靠性和恢复力的方法通常使用线性元件(管道)的修复率(RR)曲线,该曲线估计了给定强度地震发生后每单位长度所需的预期修复次数。可用的RR曲线具有高度的不确定性,主要基于专家判断和有限的数据。此外,它们在节段和接头上的损伤之间没有区别。本文开发了基于概率物理学的RR曲线,以量化地震对分段管道的破坏。首先,提出了分段管道的力学模型。然后使用该模型来生成用于校准模型参数的一组合成数据。我们将所提出的RR曲线与文献中可用的RR曲线进行了比较,并讨论了所提出模型的优点。
{"title":"Physics-based repair rate curves for segmented pipelines subject to seismic excitations","authors":"L. Iannacone, P. Gardoni","doi":"10.1080/23789689.2021.2000146","DOIUrl":"https://doi.org/10.1080/23789689.2021.2000146","url":null,"abstract":"ABSTRACT Current approaches to assess the reliability and resilience of water infrastructure subject to seismic hazard typically use Repair Rate (RR) curves for the linear elements (pipelines), which estimate the expected number of repairs needed per unit length after the occurrence of an earthquake of a given intensity. The available RR curves are characterized by high levels of uncertainty being based primarily on expert judgment and on limited data. Also, they provide no distinction between the damage on the segments and on the joints. This paper develops probabilistic physics-based RR curves to quantify the damage to segmented pipelines due to earthquakes. First, a mechanical model for segmented pipelines is proposed. The model is then used to generate a set of synthetic data for the calibration of the model parameters. We compare the proposed RR curves with the ones available in the literature and discuss the advantages of the proposed model.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"121 - 141"},"PeriodicalIF":5.9,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42577801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Climate change risk and adaptation costs for stormwater management in California coastal parklands 加州沿海公园雨水管理的气候变化风险和适应成本
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2021-12-20 DOI: 10.1080/23789689.2021.1996811
E. Porse, C. Poindexter, Christian Carelton, M. Stephens
ABSTRACT Extreme precipitation from climate change may strain many existing stormwater systems. While studies have evaluated such effects on stormwater infrastructure, other sources of uncertainty not yet explored should also be considered. This paper presents an analysis of adaptation costs for new stormwater infrastructure to mitigate increases in design storm precipitation depth with climate change, including how economic and managerial uncertainty related to life cycle unit costs and knowledge of existing infrastructure affect costs. For case study areas in California, we quantify adaptation costs for new green infrastructure capacity by evaluating future design storms. Results indicate that design storm depths increase by an average of 28%, but lack of knowledge of the condition of existing infrastructure and life cycle unit costs result in wide cost ranges. The findings illustrate how climate change planning for stormwater should also consider economic and managerial uncertainty when estimating long-term adaptation costs.
气候变化带来的极端降水可能使许多现有的雨水系统紧张。虽然研究已经评估了这种对雨水基础设施的影响,但还应考虑尚未探索的其他不确定性来源。本文分析了新雨水基础设施的适应成本,以缓解设计风暴降水深度随气候变化的增加,包括与生命周期单位成本和现有基础设施知识相关的经济和管理不确定性如何影响成本。对于加州的案例研究区域,我们通过评估未来的设计风暴来量化新的绿色基础设施容量的适应成本。结果表明,设计风暴深度平均增加28%,但缺乏对现有基础设施状况和生命周期单位成本的了解导致成本范围较大。这些发现表明,在估计长期适应成本时,针对雨水的气候变化规划也应该考虑经济和管理的不确定性。
{"title":"Climate change risk and adaptation costs for stormwater management in California coastal parklands","authors":"E. Porse, C. Poindexter, Christian Carelton, M. Stephens","doi":"10.1080/23789689.2021.1996811","DOIUrl":"https://doi.org/10.1080/23789689.2021.1996811","url":null,"abstract":"ABSTRACT Extreme precipitation from climate change may strain many existing stormwater systems. While studies have evaluated such effects on stormwater infrastructure, other sources of uncertainty not yet explored should also be considered. This paper presents an analysis of adaptation costs for new stormwater infrastructure to mitigate increases in design storm precipitation depth with climate change, including how economic and managerial uncertainty related to life cycle unit costs and knowledge of existing infrastructure affect costs. For case study areas in California, we quantify adaptation costs for new green infrastructure capacity by evaluating future design storms. Results indicate that design storm depths increase by an average of 28%, but lack of knowledge of the condition of existing infrastructure and life cycle unit costs result in wide cost ranges. The findings illustrate how climate change planning for stormwater should also consider economic and managerial uncertainty when estimating long-term adaptation costs.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"293 - 306"},"PeriodicalIF":5.9,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43302083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study 用于大坝可靠性研究的压力流涡旋颗粒图像测速动态分析
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2021-10-29 DOI: 10.1007/978-981-16-6978-1_38
N. Zahari, M. Zawawi, Fei Chong Ng, L. Sidek, A. Abas, F. Nurhikmah, N. A. Aziz, Tung Lun Hao, M. Radzi
{"title":"Particle Image Velocimetry Dynamic Analysis on the Penstock Vortex Flow for the Dam Reliability Study","authors":"N. Zahari, M. Zawawi, Fei Chong Ng, L. Sidek, A. Abas, F. Nurhikmah, N. A. Aziz, Tung Lun Hao, M. Radzi","doi":"10.1007/978-981-16-6978-1_38","DOIUrl":"https://doi.org/10.1007/978-981-16-6978-1_38","url":null,"abstract":"","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"13 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87343746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Explorative Study on Material Feasibility for Relief Shelter for Refugees 难民救济避难所物质可行性的探索性研究
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2021-10-29 DOI: 10.1007/978-981-16-6978-1_6
Ziya Sameer Mohamed, S. Dash
{"title":"An Explorative Study on Material Feasibility for Relief Shelter for Refugees","authors":"Ziya Sameer Mohamed, S. Dash","doi":"10.1007/978-981-16-6978-1_6","DOIUrl":"https://doi.org/10.1007/978-981-16-6978-1_6","url":null,"abstract":"","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"2 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81960025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integration of Building Information Modeling (BIM) and Artificial Intelligence (AI) to Detect Combined Defects of Infrastructure in the Railway System 结合建筑信息模型(BIM)和人工智能(AI)检测铁路系统基础设施组合缺陷
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2021-10-29 DOI: 10.1007/978-981-16-6978-1_30
Jessada Sresakoolchai, S. Kaewunruen
{"title":"Integration of Building Information Modeling (BIM) and Artificial Intelligence (AI) to Detect Combined Defects of Infrastructure in the Railway System","authors":"Jessada Sresakoolchai, S. Kaewunruen","doi":"10.1007/978-981-16-6978-1_30","DOIUrl":"https://doi.org/10.1007/978-981-16-6978-1_30","url":null,"abstract":"","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"20 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78273286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
COVID-19 Future Proof Infrastructure COVID-19面向未来的基础设施
IF 5.9 Q2 ENGINEERING, CIVIL Pub Date : 2021-10-29 DOI: 10.1007/978-981-16-6978-1_9
C. Vaidevi, D. Vijayan, C. Nivetha, M. Kalpana
{"title":"COVID-19 Future Proof Infrastructure","authors":"C. Vaidevi, D. Vijayan, C. Nivetha, M. Kalpana","doi":"10.1007/978-981-16-6978-1_9","DOIUrl":"https://doi.org/10.1007/978-981-16-6978-1_9","url":null,"abstract":"","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"24 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75770785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
期刊
Sustainable and Resilient Infrastructure
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1