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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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Beyond p-y method:A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

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Journal of Rock Mechanics and Geotechnical engineering 2024年第9期16卷 3812-3840页

作者： M.E.Al-Atroush A.E.Aboelela Ezz El-Din Hemdan Civil and Environmental Engineering Program Engineering Management DepartmentCollege of EngineeringPrince Sultan UniversityRiyadhSaudi Arabia Department of Structural Engineering Faculty of EngineeringAin Shams UniversityCairoEgypt Structure and Materials Research Lab Prince Sultan UniversityRiyadhSaudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt

In 2023,pivotal advancements in artificial intelligence(AI)have significantly *** that in mind,traditional methodologies,notably the p-y approach,have struggled to accurately model the complex,nonlinear soil-structure interactions of laterally loaded large-diameter drilled *** study undertakes a rigorous evaluation of machine learning(ML)and deep learning(DL)techniques,offering a comprehensive review of their application in addressing this geotechnical challenge.A thorough review and comparative analysis have been carried out to investigate various AI models such as artificial neural networks(ANNs),relevance vector machines(RVMs),and least squares support vector machines(LSSVMs).It was found that despite ML approaches outperforming classic methods in predicting the lateral behavior of piles,their‘black box'nature and reliance only on a data-driven approach made their results showcase statistical robustness rather than clear geotechnical insights,a fact underscored by the mathematical equations derived from these ***,the research identified a gap in the availability of drilled shaft datasets,limiting the extendibility of current findings to large-diameter *** extensive dataset,compiled from a series of lateral loading tests on free-head drilled shaft with varying properties and geometries,was introduced to bridge this *** paper concluded with a direction for future research,proposes the integration of physics-informed neural networks(PINNs),combining data-driven models with fundamental geotechnical principles to improve both the interpretability and predictive accuracy of AI applications in geotechnical engineering,marking a novel contribution to the field.

关键词： Laterally loaded drilled shaft load transfer and failure mechanisms Physics-informed neural networks(PINNs) P-y curves Artificial intelligence(AI) Dataset

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比较三种稳定剂对FeS纳米颗粒的稳定效果及对水土中镉的固定与去除性能的影响

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Journal of Central South University 2024年第4期31卷 1064-1075页

作者：田舒婷赵东叶霍丽娟马骏杨睿 Department of Environmental Science School of Environment and ResourcesTaiyuan University of Science and TechnologyTaiyuan 030024China Environmental Engineering Program Department of Civil&Environmental EngineeringAuburn UniversityAuburnAL 36849USA Department of Civil Constructionand Environmental EngineeringSan Diego State UniversitySan DiegoCA 92182USA

本研究评估了三种多糖稳定剂(羧甲基纤维素钠(CMC)、羧甲基淀粉钠(CMS)和一种水溶性淀粉)用于稳定FeS纳米颗粒的有效性,并测试了相应稳定化纳米颗粒在水和土壤中固定Cd^(2+)的性能。使用0.010 wt%CMC、0.025 wt%CMS或0.065 wt%淀粉可获... 详细信息

本研究评估了三种多糖稳定剂(羧甲基纤维素钠(CMC)、羧甲基淀粉钠(CMS)和一种水溶性淀粉)用于稳定FeS纳米颗粒的有效性,并测试了相应稳定化纳米颗粒在水和土壤中固定Cd^(2+)的性能。使用0.010 wt%CMC、0.025 wt%CMS或0.065 wt%淀粉可获得完全稳定的FeS纳米颗粒(100 mg/L FeS)。CMC-FeS表现出较高的zeta负电位,淀粉-FeS保持中性,而CMS-FeS则表现出中等负电位。CMCFeS对Cd^(2+)的吸附速率最快,吸附容量也最高。当用100 mg/L CMC-FeS或CMS-FeS处理一种含Cd土壤(58.3 mg/kg Cd)后,Cd的TCLP浸出率分别降低了88.4%和68.0%。CMC-FeS和CMS-FeS均可在模型土壤中运移,显示出其在土壤中原位固定Cd^(2+)方面的潜力。土壤穿透曲线实验表明,CMC-FeS在4.5个孔体积,CMS-FeS在约25个孔体积处几乎完全穿透。柱实验结果表明,当用55个孔体积的CMC-FeS或CMS-FeS悬浮液(100 mg/L)处理该含Cd土壤后,Cd的水浸出率分别降低了98.2%和98.0%。根据目标污染物、材料在土壤中的传输特性和材料成本,可找到这三种稳定剂在土壤修复中的最佳应用。

关键词：硫化铁纳米颗粒稳定剂重金属污染物固定土壤修复地下水污染

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Software Development Based on Sign Language Video Integration to Increase Accessibility of Port Information for the Deaf in Sanur-Bali 10

Software Development Based on Sign Language Video Integratio...

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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Indrashwara, Decky Cipta Dananjaya, Md. Wira Putra Fery Surya Tapa, I Gede Indra Kumara, I Nyoman Trisna Adhiswari Wedagama, Dewa Ayu Agus Ariana, I Komang Universitas Pendidikan Nasional Civil Engineering Study Program Denpasar Indonesia Universitas Pendidikan Nasional Technology Information Study Program Denpasar Indonesia Environmental Engineering Universitas Pendidikan Nasional Denpasar Indonesia

ISBN: (纸本)9798350363104

This research focuses on Sanur Harbor, an inter-island ferry port located in southern Bali. The majority of visitors to Sanur Harbor are tourists who want to travel to Nusa Penida Island. At this port, facilities are available in the form of a Public Address System (PAS) and Information officers whose job is to provide information regarding the arrival and departure of ships. However, the effectiveness of this facility is limited for deaf people. Deaf people often have difficulty getting this information independently and often have to rely on manual assistance from officers. This research aims to develop software based on sign language video integration which aims to increase the accessibility of departure and arrival information at Sanur Harbor for deaf people in Bali. The software development method uses a user-centered design development approach which involves the stages of needs analysis, design, implementation, and evaluation. Sign language videos will be integrated into the software as a medium to convey important information about ship departure and arrival schedules, travel routes, pier names, fast boat names, and other important information to deaf users. Evaluation is carried out through user testing and collecting feedback from users regarding understandability, usability, and user satisfaction with the software being developed. It is hoped that the results of this research can make a positive contribution to increasing information accessibility for deaf people in Sanur Harbor and can become a basis for developing similar technology in other locations. © 2024 IEEE.

关键词： User centered design

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Incorporating extreme event attribution into climate change adaptation for civil infrastructure:Methods,benefits,and research needs

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Resilient Cities and Structures 2024年第1期3卷 103-113页

作者： Yating Zhang Bilal M.Ayyub Juan F.Fung Zachary M.Labe Department of Civil and Environmental Engineering University of MarylandCollege ParkMD 20742 Applied Economics Office Engineering LaboratoryNational Institute of Standards and TechnologyGaithersburgMD 20899 Program in Atmospheric and Oceanic Sciences Princeton UniversityPrincetonNJ 08540

In the last decade,the detection and attribution science that links climate change to extreme weather and climate events has emerged as a growing field of research with an increasing body of *** paper overviews the methods for extreme event attribution(EEA)and discusses the new insights that EEA provides for infrastructure *** found that EEA can inform stakeholders about current climate risk,support vulnerability-based and hazard-based adaptations,assist in the development of cost-effective adaptation strategies,and enhance justice and equity in the allocation of adaptation *** engineering practice shifts from a retrospective approach to a proactive,forward-looking risk management strategy,EEA can be used together with climate projections to enhance the comprehensiveness of decision making,including planning and preparing for un-precedented extreme ***,attribution assessment can be more useful for adaptation planning when the exposure and vulnerability of communities to past events are analyzed,and future changes in the probability of extreme events are *** large uncertainties inherent in event attribution and climate projections,future research should examine the sensitivity of engineering design to climate model uncertainties,and adapt engineering practice,including building codes,to uncertain future *** this study focuses on adaptation planning,EEA can also be a useful tool for informing and enhancing decisions related to climate mitigation.

关键词： Climate change Extreme weather and climate events Extreme event attribution Infrastructure adaptation Uncertainties

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Parallelization Strategies for Hierarchical Density-Based Clustering Algorithm Using OpenMP for Scan-To-BIM Applications

Parallelization Strategies for Hierarchical Density-Based Cl...

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Annual Conference of the Canadian Society of civil engineering, CSCE 2021

作者： Ma, J. Leite, F. Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin Austin United States

ISBN: (纸本)9789811909672

Clustering is an unsupervised learning method that provides insights by investigating unknown structures in a dataset without exploiting any ground truth target information. For constructing an as-built Building Information Models (BIM) from captured laser-scanned datasets, the segmentation process precedes modeling, which provides a baseline to be traced for obtaining 3D models from point clouds. For the segmentation process, a clustering algorithm can be effectively applied so that it can group the points having similar features without predefined criteria which, in turn, segments can be easily separated from the entire scene. Amongst various types of clustering algorithms, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) was developed as a density-based and hierarchical clustering algorithm which provides a simplified tree of significant clusters. This algorithm has several distinct advantages over other clustering algorithms: (1) avoids "flat" (i.e. non-hierarchical) labeling of data objects, (2) automatically simplifies the hierarchy into the most significant clusters, and (3) requires a single input parameter (i.e. minimum number of points) for density threshold. However, this algorithm has an overall computation time complexity represented as a quadratic form (i.e., O (dn2) ) which suffers from the computational efficiency issue especially for massive amounts of data such as those found in 3D point clouds. To ease the applicability of HDBSCAN to Scan-to-BIM applications, this research aims to parallelize major time-consuming components of HDBSCAN algorithm. OpenMP interface was adopted for thread parallelization and parallel efficiency was measured by calculating speedup and efficiency from strong and weak scaling results. © 2023, Canadian Society for civil engineering.

关键词： Clustering algorithms

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Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling with Relief algorithm

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Frontiers of Structural and civil engineering 2022年第2期16卷 224-238页

作者： Hai-Bang LY Huong-Lan Thi VU Lanh Si HO Binh Thai PHAM Department of Civil Engineering University of Transport TechnologyHanoi100000Vietnam Civil and Environmental Engineering Program Hiroshima UniversityHiroshima739-8527Japan Department of Science Technology and International CooperationUniversity of Transport TechnologyHanoi100000Vietnam

The consolidation coefficient of soil(C_(v))is a crucial parameter used for the design of structures leaned on soft *** general,the C_(v) is determined experimentally in the ***,the experimental tests are time-consuming as well as ***,researchers tried several ways to determine C_(v) via other simple soil *** this study,we developed a hybrid model of Random Forest coupling with a Relief algorithm(RF-RL)to predict the C_(v) of *** conduct this study,a database of soil parameters collected from a case study region in Vietnam was used for *** performance of the proposed models was assessed via statistical indicators,namely Coefficient of determination(R^(2)),Root Mean Squared Error(RMSE),and Mean Absolute Error(MAE).The proposal models were constructed with four sets of soil variables,including 6,7,8,and 13 *** results revealed that all models performed well with a high performance(R^(2)>0.980).Although the RF-RL model with 13 variables has the highest prediction accuracy(R^(2)=0.9869),the difference compared with other models was negligible(i.e.,R^(2)=0.9824,0.9850,0.9825 for the cases with 6,7,8 inputs,respectively).Thus,it can be concluded that the hybrid model of RF-RL can be employed to predict C_(v) based on the basic soil parameters.

关键词： soil consolidation coefficient machine learning random forest Relief

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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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Applicability of Electrical Resistance Method to Moisture Transfer Measurement in Paste Using Mineral Admixture 2nd

Applicability of Electrical Resistance Method to Moisture Tr...

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2nd International Conference on Sustainable civil engineering and Architecture, ICSCEA 2021

作者： Aoki, Takahiro Ogawa, Yuko Kawai, Kenji Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashihiroshima Japan

ISBN: (纸本)9789811933028

Concrete is a porous material which has the ability to hold moisture stably inside. Since moisture is closely related to the deterioration of concrete structures, it is important to understand the moisture transfer in concrete in order to maintain the concrete structure appropriately. The electrical resistance method is one of non-destructive methods to investigate the moisture in concrete and the moisture transfer can be assessed with time by using one specimen. However, the electrical resistance may be affected by mineral admixtures in concrete. Although previous studies on the effects of mineral admixtures on the electrical resistance have been conducted, there are still many unclear points. Therefore, the purpose of this study is to assess the applicability of the electrical resistance method to moisture transfer measurement in paste containing mineral admixtures by focusing on the moisture transfer in the drying process. The moisture transfer in the hardened cement paste using fly ash and blast furnace slag with water-to-binder ratios of 0.35 and 0.55 was investigated by the electrical resistance method. Stainless steel rods of 0.9 mm in diameter were placed at an interval of 4 mm in the specimen. The calibration test was also conducted to obtain the relationship between the electrical resistivity and the internal relative humidity of the specimen. The result showed that the specific resistance of the specimen containing mineral admixtures was higher than that of the specimen without mineral admixtures. It was observed that at the drying period of 70 days, the internal relative humidity at a depth of 4 mm from the exposed surface was almost the same as the surrounding relative humidity. It is possible to know the change in the internal relative humidity distribution in the cement paste using mineral admixtures during the drying process by performing the calibration test appropriately. © 2023, The Author(s), under exclusive license to Springer Nature Singapore P

关键词： Concretes

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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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