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An integrated decision-making approach to resilience–LCC Bridge network retrofitting using a genetic algorithm-based framework

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Resilient Cities and Structures 2025年第1期4卷 16-40页

作者： Omidian, Pedram Khaji, Naser Aghakouchak, Ali Akbar Faculty of Civil and Environmental Engineering Tarbiat Modares University Tehran P.O. Box 14115-397 Iran Civil and Environmental Engineering Program of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8527 Japan

Bridge networks are essential components of civil infrastructure, supporting communities by delivering vital services and facilitating economic activities. However, bridges are vulnerable to natural disasters, particularly earthquakes. To develop an effective disaster management strategy, it is critical to identify reliable, robust, and efficient indicators. In this regard, Life-Cycle Cost (LCC) and Resilience (R) serve as key indicators to assist decision-makers in selecting the most effective disaster risk reduction plans. This study proposes an innovative LCC–R optimization framework to identify the most optimal retrofit strategies for bridge networks facing hazardous events during their lifespan. The proposed framework employs both single- and multi-objective optimization techniques to identify retrofit strategies that maximize the R index while minimizing the LCC for the under-study bridge networks. The considered retrofit strategies include various options such as different materials (steel, CFRP, and GFRP), thicknesses, arrangements, and timing of retrofitting actions. The first step in the proposed framework involves constructing fragility curves by performing a series of nonlinear time-history incremental dynamic analyses for each case. In the subsequent step, the seismic resilience surfaces are calculated using the obtained fragility curves and assuming a recovery function. Next, the LCC is evaluated according to the proposed formulation for multiple seismic occurrences, which incorporates the effects of complete and incomplete repair actions resulting from previous multiple seismic events. For optimization purposes, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) evolutionary algorithm efficiently identifies the Pareto front to represent the optimal set of solutions. The study presents the most effective retrofit strategies for an illustrative bridge network, providing a comprehensive discussion and insights into the resulting tactical approaches

关键词： Genetic algorithms

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Experimental Investigation for a Novel Bio-Inspired Scour Countermeasure

Experimental Investigation for a Novel Bio-Inspired Scour Co...

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Geotechnical Frontiers 2025: Geotechnics of Natural Hazards

作者： Castillo, Rodolfo Kulesza, Stacey Rhode-Barbarigos, Landolf Civil Engineering Program Texas State Univ. San MarcosTX United States Dept. of Civil Architectural and Environmental Engineering Univ. of Miami MiamiFL United States

ISBN: (数字)9780784485996

Bridge scour poses a persistent threat to infrastructure durability, necessitating the development of novel, eco-friendly solutions to complement traditional protection methods. One potential solution developed at the University of Miami is SEAHIVE, a system of hexagonal hollow concrete prisms with perforations on each face. SEAHIVE elements have been used as a sustainable estuarine and marine revetment to mitigate wave energy along seawalls emulating beehives. SEAHIVE elements also provide habitat for displaced ecosystems, such as hybrid coral reefs and mangrove tree planters. In this study, we describe the experimental setup and results to evaluate the ability of SEAHIVE elements in reducing local scour at bridge piers. Specifically, this study evaluated the local scour development around three configurations of a SEAHIVE monopile compared to a circular monopile through scaled physical testing in the Texas State University flume. By quantifying the equilibrium scour depth and the volume of the scour hole around SEAHIVE monopiles, the research contributes valuable insights into the use of SEAHIVE for scouring protection and the ability of novel sustainable and eco-friendly solutions in enhancing infrastructure durability. © ASCE.

关键词： Bridge piers

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Leveraging AI to Enhance XR in the AEC Industry

Leveraging AI to Enhance XR in the AEC Industry

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International Conference of Sustainable Development and Smart Built Environments, SDSBE 2024

作者： Alizadehsalehi, Sepehr Hadavi, Ahmad Project Management Program Northwestern University EvanstonIL United States Department of Civil and Environmental Engineering Northwestern University EvanstonIL United States

ISBN: (纸本)9789819640508

The Architecture, engineering, and Construction (AEC) industry will benefit significantly from integrating Artificial Intelligence (AI) and Extended Reality (XR) technologies. This paper explores the immense potential of AI-enhanced XR in tackling the industry challenges. While AI and XR are currently employed independently, this paper proposes a framework for their integration, aiming to optimize resource allocation, elevate safety protocols, and enhance project accuracy. Supported by a SWOT analysis, the study presents practical implications and proposed use cases showcasing the application of AI and XR in AEC projects. The paper provides a strategic roadmap for integrating AI-driven XR, emphasizing its potential to drive immediate and sustainable advancements in construction practices and set new industry benchmarks for innovation and efficiency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Project management

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Diagnosis of pathological manifestations in popular housing of COHAB in Caruaru, Pernambuco: a forensic approach

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Journal of Building Pathology and Rehabilitation 2025年第1期10卷 1-17页

作者： Lima Júnior, Humberto Correia da Silva Medeiros, Iálysson Barbosa, Felipe Augusto Almeida de Lima, Douglas Mateus Graduate Program in Civil and Environmental Engineering Technology Center Academic Center of Agreste Federal University of Pernambuco Marielle Franco Avenue Nova Caruaru Pernambuco Caruaru 55014-900 Brazil

The construction of Social Interest Housing through housing programs is a crucial government investment aimed at reducing housing deficits and ensuring housing rights for low-income populations. However, despite driving the growth of the construction industry, historically these constructions have faced pathological manifestations. The term "pathology" in this context refers to defects, non-conformities, and failures in constructions. Thus, this study is aimed at examining the pathological manifestations in social interest housing provided by the Popular Housing Company (COHAB-PE), focusing on popular residences built with subsidies targeted at housing programs in Caruaru, in the rural area of Pernambuco. The study, classified as exploratory and documentary following technical procedures, aims to analyze and identify recurring patterns of structural problems in popular housing. This was carried out through the analysis of 36 residences located in Caruaru, all of residential nature. The results underscore the need to investigate such issues, highlighting anomalies mostly related to construction errors, such as the lack of appropriate structural elements and waterproofing in foundations. The proposed technical solutions aim to ensure residents' safety. The lack of compliance with standards and the recurrence of the same problems over time and across different construction companies indicate a systemic failure in construction methods. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Construction flaws Expert reports Social interest housing Structural anomalies Technical solutions

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Performance Evaluation of Unpaved Roads Stabilized with Composite Geosynthetic Made of Recycled Plastic Geogrid and Nonwoven Geotextile

Performance Evaluation of Unpaved Roads Stabilized with Comp...

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Geotechnical Frontiers 2025: Foundations, Retaining Structures, and Geosynthetics

作者： Hasheminezhad, Araz Ceylan, Halil Kim, Sunghwan Tutumluer, Erol Dept. of Civil Construction and Environmental Engineering Program for Sustainable Pavement Engineering and Research Iowa State Univ. AmesIA United States Institute for Transportation Iowa State Univ. AmesIA United States Dept. of Civil and Environmental Engineering Univ. of Illinois at Urbana-Champaign UrbanaIL United States

ISBN: (数字)9780784485972

This paper presents recent findings from an ongoing research study to evaluate the effectiveness of a geosynthetic made from recycled plastic for stabilizing unpaved roads. In the state of Iowa, USA, two full-scale test sections were constructed: one stabilized with a newly developed composite geosynthetic, and the other serving as a control. This innovative geocomposite combines a geogrid made from recycled plastic and a nonwoven geotextile. Following construction, these unpaved test sections were exposed to real traffic loads that included trucks and implements of husbandry (farm equipment). The performance of reinforced unpaved roads was assessed using Lightweight Deflectometer (LWD) tests and field California Bearing Ratio (CBR) data collected using a clegg impact soil tester (CIST). The results indicated that unpaved roads stabilized with the geocomposite significantly reduced permanent deformation during the evaluation period. These findings suggest good potential of the geocomposite for enhancing unpaved road performance, pending further validation through continuous monitoring and evaluation of the test sections over longer periods. © ASCE.

关键词： Soil testing

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Factors affecting the crop's water footprint to optimize the water use efficiency in the Gaza strip, Palestine

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Journal of Water and Climate Change 2025年第4期16卷 1443-1458页

作者： Mizyed, Amjad Mogheir, Yunes Hamada, Mazen S. Water Technology joint program Islamic University of Gaza al-Azhar University of Gaza Gaza Palestine Water Resources and Environment – Civil and Environmental Engineering Islamic University of Gaza Gaza Palestine Chemistry Department – Faculty of Science Al Azhar University Gaza Strip Palestine

The agricultural sector in the Gaza Strip consumes more than 51% of the available water, leading to a massive deficit in the water budget. This study employs the water footprint concept as an innovative tool for effective water resources management. It examines the impact of several factors on nine basic crops (olives, citrus, grapes, wheat, tomatoes, potatoes, eggplant, squash, and cucumber) in the aspects of irrigation water consumption, climate parameters, crop patterns, virtual water trade, and achieving the best profits using the CROPWAT program and developing a linear programming model that combines economic benefit and water footprint. The best optimization was attained by changing crop pattern cultivation, as it achieved food security and optimized by 33% the use of green water. Also, the consumption of blue water was reduced by 29.4 million m3 (37%), as well as the productivity of water units increased to 18.5 $/m3 for eggplant, followed by potatoes at 13.9 $/m3, tomatoes at 9.25 $/m3, and cucumbers at 8.74 $/m3. The water footprint has proven its effectiveness in increasing water use efficiency and is considered an effective tool in planning for sustainable water management. © 2025 The Authors.

关键词： Irrigation

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Navigating Legal Frameworks for National Resilience: A Comparative Analysis of Key Disaster Management Laws in Thailand and Japan 4

Navigating Legal Frameworks for National Resilience: A Compa...

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4th International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2025

作者： Laosunthara, Ampan Thongthip, Ratchaneekorn Krutphong, Kodchakorn School of Environment and Society Institute of Science Tokyo Tokyo Japan Disaster Preparedness Mitigation and Management Department of Civil & Infrastructure Engineering Pathumthani Thailand Environmental Engineering and Disaster Management Program Mahidol University Kanchanaburi Thailand

ISBN: (纸本)9798331505400

This study compares the disaster management laws of Thailand and Japan. The research reveals significant differences in legislative approaches, reflecting each country's unique historical, and governance contexts. Japan's law demonstrates a more comprehensive approach to the disaster management cycle and stakeholder involvement, with integrated financial provisions. Thailand's law emphasizes organizational aspects. Both prioritize response measures but show potential gaps in addressing preparedness and mitigation phases. The study identifies areas for further investigation, including financial measures, and international cooperation approaches. This comparative analysis offers valuable insights into both countries' ongoing development of disaster management systems and highlights potential areas for mutual learning and improvement in disaster risk reduction strategies. Creating resilience in the society through the core of the government working and stakeholders' given authorities. © 2025 IEEE.

关键词： Disaster prevention

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Combining Cooperative Re-Routing with Intersection Coordination for Connected and Automated Vehicles in Urban Networks

arXiv

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arXiv 2025年

作者： Typaldos, Panagiotis Malikopoulos, Andreas A. School of Civil and Environmental Engineering Cornell University IthacaNY United States School of Civil and Environmental Engineering The System Engineering Program Cornell University IthacaNY United States

In this paper, we present a hierarchical framework that integrates upper-level routing with low-level optimal trajectory planning for connected and automated vehicles (CAVs) traveling in an urban network. The upper-level controller efficiently distributes traffic flows by utilizing a dynamic rerouting algorithm that leverages real-time density information and the fundamental diagrams of each network edge. This rerouting approach predicts when each edge will reach critical density and proactively adjusts the routing algorithm’s weights to prevent congestion before it occurs. The low-level controller coordinates CAVs as they cross signal-free intersections, generating optimal, fuel-efficient trajectories while ensuring safe passage by satisfying all relevant constraints. We formulate the problem as an optimal control problem and derive an analytical solution. Using the SUMO micro-simulation platform, we conduct simulation experiments on a realistic network. The results show that our hierarchical framework significantly enhances network performance compared to a baseline static routing approach. By dynamically re-routing vehicles, our approach successfully reduces total travel time and mitigates congestion before it develops. Copyright © 2025, The Authors. All rights reserved.

关键词： Travel time

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CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles

arXiv

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arXiv 2025年

作者： Wang, Shanting Typaldos, Panagiotis Malikopoulos, Andreas A. System Engineering Program Cornell University IthacaNY United States School of Civil and Environmental Engineering Cornell University IthacaNY United States School of Civil and Environmental Engineering The System Engineering Program Cornell University IthacaNY United States

In this paper, we present Corridor-Agent (CorrA), a framework that integrates large language models (LLMs) with model predictive control (MPC) to address the challenges of dynamic obstacle avoidance in autonomous vehicles. Our approach leverages LLM reasoning ability to generate appropriate parameters for sigmoid-based boundary functions that define safe corridors around obstacles, effectively reducing the state-space of the controlled vehicle. The proposed framework adjusts these boundaries dynamically based on real-time vehicle data that guarantees collision-free trajectories while also ensuring both computational efficiency and trajectory optimality. The problem is formulated as an optimal control problem and solved with differential dynamic programming (DDP) for constrained optimization, and the proposed approach is embedded within an MPC framework. Extensive simulation and real-world experiments demonstrate that the proposed framework achieves superior performance in maintaining safety and efficiency in complex, dynamic environments compared to a baseline MPC approach. © 2025, CC0.

关键词： Constrained optimization

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Contaminated drinking water facilitates Escherichia coli strain-sharing within households in urban informal settlements

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Nature Microbiology 2025年第5期10卷 1198-1209页

作者： Kim, Daehyun D. Swarthout, Jenna M. Worby, Colin J. Chieng, Benard Mboya, John Earl, Ashlee M. Njenga, Sammy M. Pickering, Amy J. Department of Civil and Environmental Engineering University of California Berkeley CA United States Department of Civil and Environmental Engineering Tufts University Medford MA United States Infectious Disease and Microbiome Program Broad Institute Cambridge MA United States Kenya Medical Research Institute Nairobi Kenya Chan Zuckerberg Biohub—San Francisco San Francisco CA United States Blum Center for Developing Economies University of California Berkeley Berkeley CA United States

Identifying bacterial transmission pathways is crucial to inform strategies that limit the spread of pathogenic and antibiotic-resistant bacteria. Here we assessed Escherichia coli strain-sharing and overlap of antibiotic resistance genes (ARGs) across humans, poultry, canines, soil, and drinking water within and between households in urban informal settlements in Nairobi, Kenya. We collected 321 samples from 50 households with half having access to chlorinated water. We performed Pooling Isolated Colonies-seq, which sequences pools of up to five E. coli colonies per sample to capture strain diversity. Pooling Isolated Colonies-seq captured 1,516 colonies and identified 154 strain-sharing events, overcoming limitations of single-isolate sequencing and metagenomics. Within households, strain-sharing rates and resistome similarities across sample types were strongly correlated, suggesting clonal transmission of ARGs. E. coli isolated from the environment carried clinically relevant ARGs. Strain-sharing was rare between animals and humans but frequent between humans and drinking water. E. coli-contaminated stored drinking water was associated with higher human–human strain-sharing within households. These results suggest that contaminated drinking water facilitates human to human strain-sharing, and water treatment can disrupt transmission. © The Author(s) 2025.

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