Automation in Construction最新文献

英文中文

Robust optimization model for traceable procurement of construction materials considering contract claims 考虑合同索赔的建筑材料可追溯采购的稳健优化模型

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-11-06 DOI: 10.1016/j.autcon.2024.105847

In claim contracts, project owners and contractors set negotiated prices and exemption amounts for price adjustments to deal with the uncertainty of material prices, which is often overlooked in the optimization of procurement strategies. Therefore, considering contract claims, this paper constructs an optimization model for contractors’ traceable procurement strategies to address the multi-stage, multi-source procurement issue. A robust optimization model is used to consider the uncertainty of procurement prices, and the robust parameter is set to flexibly control the robustness of the solutions. The results indicate that contractors with different risk attitudes have the same preference for the exemption amount, but they exhibit varying sensitivities to the exemption amount and also have different preferences regarding the negotiated price. Furthermore, the study reveals that negotiated price exerts an anchoring effect on the procurement strategies of contractors.

在索赔合同中，项目业主和承包商会设定协商价格和价格调整免责金额，以应对材料价格的不确定性，而这在采购策略优化中往往被忽视。因此，考虑到合同索赔，本文构建了承包商可追溯采购策略的优化模型，以解决多阶段、多来源的采购问题。采用稳健优化模型来考虑采购价格的不确定性，并设置稳健参数来灵活控制解决方案的稳健性。结果表明，不同风险态度的承包商对免责金额的偏好相同，但对免责金额的敏感度不同，对谈判价格的偏好也不同。此外，研究还表明，谈判价格对承包商的采购战略具有锚定效应。

引用次数: 0

Rutting extraction from vehicle-borne laser point clouds 从车载激光点云中提取车辙

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-11-05 DOI: 10.1016/j.autcon.2024.105853

Rutting is a type of structural road damage that seriously affects traffic safety, and rutting conditions are typically analyzed only from a two-dimensional cross-sectional perspective. Rutting detection currently lacks directional features and trends along the traveling direction. To address this issue, this paper develops a rutting extraction methodology from vehicle-borne laser point clouds to reflect the actual rutting conditions. The proposed method locates rutting points from cross-sectional data and further integrates the spatial correlation information of continuous cross sections to accurately extract dangerous rutting regions and longitudinal feature lines. Comprehensive experiments show that the Recall and Precision of rutting extraction are higher than 85 % and 90 % respectively, while also exhibiting higher robustness compared to other methods. These results demonstrate the effectiveness and accuracy of the proposed method for rutting extraction in large-scale road scenes. Future research will focus on deep learning-based road damage monitoring and provide valuable references for traffic management, road maintenance, and safety.

车辙是一种严重影响交通安全的道路结构性损坏，而车辙状况通常只能从二维横截面角度进行分析。车辙检测目前缺乏方向性特征和沿行驶方向的趋势。为解决这一问题，本文开发了一种从车载激光点云中提取车辙的方法，以反映实际的车辙状况。该方法从横截面数据中定位车辙点，并进一步整合连续横截面的空间关联信息，从而精确提取危险车辙区域和纵向特征线。综合实验表明，车辙提取的 Recall 和 Precision 分别高于 85 % 和 90 %，同时与其他方法相比也表现出更高的鲁棒性。这些结果证明了所提出的方法在大规模道路场景中车辙提取的有效性和准确性。未来的研究将聚焦于基于深度学习的道路损伤监测，为交通管理、道路维护和安全提供有价值的参考。

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Self-supervised monocular depth estimation on construction sites in low-light conditions and dynamic scenes 低光照条件和动态场景下建筑工地的自监督单目深度估计

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-11-05 DOI: 10.1016/j.autcon.2024.105848

Estimating construction scene depth from a single image is crucial for various downstream tasks. Self-supervised monocular depth estimation methods have recently achieved impressive results and demonstrated state-of-the-art performance. However, the low-light conditions and dynamic scenes on construction sites pose significant challenges to these methods, hindering their practical deployment. Therefore, an architecture called LLD-Depth is presented to address these challenges, including an improved ForkGAN model to generate paired low-light images from clear-day images, a new unifying learning method for accurately estimating monocular depth, motion flow, camera ego-motion, and its intrinsic parameters, as well as a training framework to estimate monocular depth under both low-light and clear-day conditions effectively. Finally, the effectiveness of monocular depth estimation in construction scenes is verified. LLD-Depth brings 16.67% and 20.17% gain in relative mean error for clear-day and low-light scenes and 2.60% and 1.80% gain in average order accuracy, achieving state-of-the-art performance.

从单张图像中估计建筑场景深度对于各种下游任务至关重要。自监督单目深度估算方法最近取得了令人瞩目的成果，展示了最先进的性能。然而，建筑工地的低照度条件和动态场景给这些方法带来了巨大挑战，阻碍了它们的实际应用。因此，本文提出了一种名为 LLD-Depth 的架构来应对这些挑战，其中包括一种改进的 ForkGAN 模型，用于从晴天图像生成成对的弱光图像；一种新的统一学习方法，用于准确估计单目深度、运动流、摄像机自我运动及其内在参数；以及一种训练框架，用于在弱光和晴天条件下有效估计单目深度。最后，在建筑场景中验证了单目深度估计的有效性。LLD-Depth 在晴天和弱光场景下的相对平均误差分别增加了 16.67% 和 20.17%，平均阶次精度分别增加了 2.60% 和 1.80%，达到了最先进的性能。

引用次数: 0

Automated reinforcement of 3D-printed engineered cementitious composite beams 自动加固 3D 打印工程水泥基复合梁

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-11-02 DOI: 10.1016/j.autcon.2024.105851

The advancement of emerging 3D concrete printing (3DCP) has been hindered by two significant challenges: the weak tensile properties of conventional concrete and the difficulty of simultaneously placing reinforcement during printing. In this paper, engineered cementitious composites (ECC) with superior tensile properties along with an in-process reinforcement technique through laying CFRP meshes between ECC layers were strategically composited. Four-point bending tests were performed on 3DP-ECC beams reinforced with different layers and configurations of CFRP mesh. Experimental results demonstrated that CFRP meshes can deform collaboratively with ECC, and enhance the load bearing capacity of 3DP-ECC beams to 1.22–2.01 times compared to that of unreinforced beam, while moderately decrease the deformation capacity of printed beams. A theoretical model for predicting the load bearing capacity and bending moment-curvature relationship of 3DP-ECC beams was further proposed. This paper validated the feasibility and effectiveness of CFRP mesh in reinforcing 3DP-ECC beams for efficient 3DCP construction.

新兴的三维混凝土打印技术（3DCP）的发展一直受到两个重大挑战的阻碍：传统混凝土的抗拉性能较弱，以及在打印过程中难以同时放置钢筋。在本文中，具有优异拉伸性能的工程水泥基复合材料（ECC）与在 ECC 层之间铺设 CFRP 网片的过程中加固技术被战略性地复合在一起。对使用不同层数和结构的 CFRP 网片加固的 3DP-ECC 梁进行了四点弯曲试验。实验结果表明，CFRP 网片能与 ECC 协同变形，与未加固梁相比，3DP-ECC 梁的承载能力提高了 1.22-2.01 倍，而印刷梁的变形能力则适度降低。论文进一步提出了预测 3DP-ECC 梁承载力和弯矩-曲率关系的理论模型。本文验证了 CFRP 网格在加固 3DP-ECC 梁以实现高效 3DCP 建筑的可行性和有效性。

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Decision support for railway track facility management using OpenBIM 利用 OpenBIM 为铁路轨道设施管理提供决策支持

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-31 DOI: 10.1016/j.autcon.2024.105840

Despite rapid advancements in track condition assessment technologies, current railway track facility management (FM) often results in cost-ineffectiveness as well as maintenance- and operation-inefficient outcomes. However, the challenges in current practice and the requirements for enhancing track FM decision-making processes have not been identified in a comprehensive and structured manner by any existing study. To address this gap, case studies and interviews were conducted to identify the challenges, along with the necessary information and functions. Based on these findings, a conceptual decision-support framework for railway track FM, utilizing openBIM, was proposed. This framework addresses data integration, track condition diagnosis, root cause identification considering the interrelationships among multiple components, long-term deterioration prediction, and FM plan optimization. A focus group interview was also conducted, and existing studies were examined to validate the proposed framework, which was found to support informed decision-making for railway track FM, thereby enhancing predictive maintenance.

尽管轨道状况评估技术突飞猛进，但目前的铁路轨道设施管理（FM）往往导致成本效益以及维护和运营效率低下的结果。然而，现有研究尚未以全面和结构化的方式确定当前实践中的挑战以及加强轨道设施管理决策流程的要求。为了填补这一空白，我们进行了案例研究和访谈，以确定挑战以及必要的信息和功能。在这些研究结果的基础上，提出了一个利用开放式建筑信息模型（openBIM）的铁路轨道 FM 概念决策支持框架。该框架涉及数据整合、轨道状况诊断、考虑到多个组件之间相互关系的根本原因识别、长期劣化预测和 FM 计划优化。此外，还进行了一次焦点小组访谈，并研究了现有研究，以验证所提出的框架，结果发现该框架可支持铁路轨道维护的知情决策，从而增强预测性维护。

引用次数: 0

Continuous compaction control of subgrade bases using intelligent compaction measurement values with dynamic cone penetrometer and light weight deflectometer 利用动态圆锥透度计和轻质变形计的智能压实测量值对路基路面进行连续压实控制

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105835

To address the challenges associated with continuous compaction control (CCC), this paper investigates a CCC framework that incorporates dynamic cone penetration (DCP) and lightweight deflectometer (LWD). Field tests were conducted on 12 strip-shaped and two rectangular embankments. The compaction meter value (CMV) exhibited a linear correlation with the DCP and LWD test results (DPI and E_LWD). The optimal region of interest (ROI) sizes for the linear regression analysis between CMV and DPI and E_LWD were 2.0 m and 3.0 m, respectively. However, in areas where roller-related factors change or when the drum operating behavior is in the double-jump mode, the CMV exhibited significant low values; CCC measurements alone were not sufficient to evaluate the ground stiffness. A framework that incorporates DCP and LWD along with CCC was proposed, and it is believed that the CCC measurements with DCP and LWD more accurately represent the ground stiffness of the rectangular embankment.

为了应对与连续压实控制（CCC）相关的挑战，本文研究了一种结合了动态锥入度（DCP）和轻质偏转仪（LWD）的 CCC 框架。在 12 个条形路堤和两个矩形路堤上进行了实地测试。压实度计值（CMV）与 DCP 和 LWD 测试结果（DPI 和 ELWD）呈线性相关。在 CMV 与 DPI 和 ELWD 的线性回归分析中，最佳感兴趣区 (ROI) 大小分别为 2.0 米和 3.0 米。然而，在滚筒相关因素发生变化的区域或滚筒运行行为处于双跳模式时，CMV 值明显偏低；仅靠 CCC 测量不足以评估地面刚度。我们提出了一个将 DCP 和 LWD 与 CCC 结合在一起的框架，相信结合 DCP 和 LWD 的 CCC 测量能更准确地反映矩形路堤的地面刚度。

引用次数: 0

Digital twin technology for road pavement 路面数字孪生技术

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105826

In recent years, the concept of Digital Twins (DT) has emerged as a promising solution for real-time monitoring and proactive maintenance of complex engineering systems. This systematic review paper provides a comprehensive overview of the current state-of-the-art in DT technology for road pavement. The paper aims to bridge the gap between the theoretical physic-based model and DT and its practical implementation in road pavement. Through a rigorous review of the literature, this study identifies the key components, challenges, and opportunities associated with the utilization of DT for road pavement. The results show that road pavement DT research is still scarce and that only a few use cases in pavement reactive maintenance have attracted the attention of the scientific community. By synthesizing the findings of this study, the paper offers insights into the prospects of DT in revolutionizing pavement proactive maintenance practices and enabling more efficient and sustainable road infrastructure.

近年来，数字孪生（DT）的概念已成为实时监控和主动维护复杂工程系统的一种有前途的解决方案。这篇系统综述论文全面概述了当前路面数字孪生技术的最新发展。本文旨在弥合基于物理的理论模型和 DT 及其在路面实际应用之间的差距。通过对文献的严格审查，本研究确定了与路面 DT 应用相关的关键要素、挑战和机遇。研究结果表明，道路路面 DT 研究仍然十分匮乏，只有少数路面反应性养护案例引起了科学界的关注。通过综合本研究的结果，本文对 DT 在彻底改变路面主动维护实践和实现更高效、更可持续的道路基础设施方面的前景提出了见解。

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Simulation-based planning of earthmoving equipment for reducing greenhouse gas (GHG) emissions 基于仿真的土方设备规划，减少温室气体排放

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105841

Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.

采矿挖掘中常见的大规模推土作业大大增加了温室气体（GHG）的排放量。本文介绍了一种基于模拟的系统，旨在量化这些排放，并确定切实可行的减排步骤。我们开发的系统考虑了现场的具体因素，包括设备规格、地形、路线和天气条件。值得注意的是，该系统可进行 "假设 "情景分析，使我们能够评估不同参数对排放量的影响。该系统的独特之处在于通过智能决策系统优化资源配置，在案例研究中减少了约 7.6% 的温室气体排放。在闲置期间关闭设备可进一步减少排放量达 11.3%。这些发现凸显了操作调整在减轻土方工程对环境影响方面的潜力。

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Fractional-order composite sliding mode control for 4-DOF tower crane systems with given-performance 具有给定性能的 4-DOF 塔式起重机系统的分数阶复合滑模控制

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105832

Construction tower cranes exhibit significant nonlinear characteristics and high flexibility due to limited control input, posing major challenges for controller design and stability analysis. To achieve anti-sway control while constraining system variables within a safe range, a new given-performance anti-sway control strategy has been successfully developed by combining composite sliding mode control with fractional calculus. Specifically, advanced Mittag-Leffler stability and fractional-order relevant theories are introduced to prove the convergence of the composite sliding surface and all state variables to zero. Time delay information estimates uncertainties, eliminating the requirement of prior knowledge of the upper bound of uncertainty in traditional sliding mode control. The introduced performance function strictly constraints both the actuated and underactuated variables to ensure the given-performance, namely, the actual transient-state and steady-state control performance of the system can be quantitatively predetermined according to practical application requirements. Finally, the superior performance of the method is verified through experiments.

由于控制输入有限，建筑塔式起重机表现出明显的非线性特征和高度灵活性，这给控制器设计和稳定性分析带来了重大挑战。为了在将系统变量限制在安全范围内的同时实现抗摇摆控制，通过将复合滑模控制与分数微积分相结合，成功开发了一种新的给定性能抗摇摆控制策略。具体来说，引入了先进的 Mittag-Leffler 稳定性和分数阶相关理论，以证明复合滑动面和所有状态变量都收敛为零。时间延迟信息估计了不确定性，消除了传统滑模控制中对不确定性上限的先验知识要求。引入的性能函数严格约束了作用变量和欠作用变量，确保了给定性能，即系统的实际瞬态和稳态控制性能可根据实际应用要求进行定量预设。最后，通过实验验证了该方法的优越性能。

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引用次数: 0

BIM-integrated semantic framework for construction waste quantification and optimisation 用于建筑垃圾量化和优化的 BIM 集成语义框架

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction

Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105842

Quantification and optimisation of Construction Waste (CW) in the design stages are vital to implementing preventive CW management measures. Previous ICT-integrated CW models are not efficiently upscaled to achieve an interoperable and automated workflow. Therefore, this paper presents a BIM-integrated semantic framework for CW quantification and optimisation from the early design stages. A CW data model using Semantic-Web-Technologies (SWT) was developed and integrated with BIM. The results proved that unified data structure, standardised and granular information, established semantic relationships between building material and CW data, and diverse measurement units proposed in the framework facilitate seamless and dynamic information flows between BIM and CW platforms. The research outcomes are critical to improving interoperability and automation across the CW assessment process, enhancing the accuracy and reliability of results, supporting timely and integrated decision-making, and easing communication and collaboration among the supply-chain members. A test-case building demonstrates the application of the framework.

在设计阶段对建筑垃圾（CW）进行量化和优化，对于实施预防性 CW 管理措施至关重要。以往的信息和通信技术集成建筑垃圾模型无法有效地升级以实现可互操作和自动化的工作流程。因此，本文提出了一个集成 BIM 的语义框架，用于在早期设计阶段就对建筑垃圾进行量化和优化。使用语义网络技术（SWT）开发了一个化武数据模型，并将其与 BIM 集成。研究结果表明，统一的数据结构、标准化和细粒度的信息、建筑材料和化学工程数据之间建立的语义关系，以及框架中提出的多样化测量单位，促进了 BIM 和化学工程平台之间无缝和动态的信息流。这些研究成果对于提高整个建筑工程评估流程的互操作性和自动化程度、提高结果的准确性和可靠性、支持及时的综合决策以及简化供应链成员之间的沟通与协作至关重要。测试案例构建展示了该框架的应用。

引用次数: 0

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Automation in Construction

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