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7th International Conference on civil engineering and Architecture, ICCEA 2024

作者： Wulandari, Siska Nugroho, Eka Oktariyanto Nugroho, Joko Cahyono, Muhammad Saurena, Alfandias Widyaningtias Asferizal, Ferial Master Program of Water Resource Engineering Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung40132 Indonesia Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung40132 Indonesia Ministry of Public Works and Housing Jalan Pattimura 20 Jakarta Indonesia Department of Integrated Water Management Engineering Institut Teknologi Sumatera Lampung Indonesia

ISBN: (纸本)9789819661145

The Muara Beting coastal area on the north coast of Java, Indonesia, faces coastal erosion processes that gradually affect the decrease of mangrove land. That process causes the land to be extremely eroded and become closer to the Citarum River. The seawater intrusion occurs within the decreasing land mangroves. If erosion persists, the increased seawater intrusion might result in the convergence of the pond area with the Citarum River. This study aims to simulate and analyze how the "Building with Nature" building can be applied as a mitigation strategy through Delft3D simulations. Data was collected through field surveys, satellite image analysis, and library observations to evaluate the impact of the proposed solutions. The simulations used bathymetry, sediment characteristics, wind, tide, and river discharge measurements for input data. Apart from simulating natural conditions, several scenarios were also arranged based on the placement of permeable structures combined with the floodway. The best scenario was selected from where cumulative sedimentation and erosion and the cross-sectional depth show best. This study's findings will be intended to assist Muara Beting’s coastal community in reconstructing pond land that has been harmed by coastal erosion, allowing the locals to carry on with their pond-related livelihoods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Building with Nature Coastal erosion Delft3D Muara Beting sedimentation

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Characterization of Ureolysis and Microbially Induced Calcium Carbonate Precipitation Under Different Incubation and Reaction Conditions

SSRN

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SSRN 2025年

作者： Joo, Hyun-Woo Fyfe, Matthew H. Verdú, Irene Rahmaninezhad, Seyed Ali Sales, Christopher M. Srubar, Wil V. Hubler, Mija H. Department of Civil Environmental and Architectural Engineering University of Colorado Boulder BoulderCO United States Department of Civil Architectural and Environmental Engineering Drexel University PhiladelphiaPA United States Environmental Department Terracon Consulting Inc. The ColonyTX United States Department of Civil Environmental and Architectural Engineering Materials Science and Engineering Program University of Colorado Boulder BoulderCO United States Department of Biology

This study investigates the ureolysis and microbially induced calcium carbonate precipitation (MICP) characteristics of Sporosarcina pasteurii and Lysinibacillus sphaericus under varying incubation and reaction conditions. A series of batch MICP experiments were conducted to assess the effects of incubation duration and pH, bacterial cell density, and reagent (i.e., urea and calcium ion) concentrations on ureolysis and CaCO3 precipitation characteristics. The findings indicate that both bacteria exhibit higher urease activity after 24 hours of incubation compared to 48 hours, regardless of incubation pH. S. pasteurii exhibits maximum specific urease activity at an alkaline pH (pH 9.0), whereas L. sphaericus reaches peak activity at a neutral pH (pH 7.2). Across six incubation conditions for each bacterium, S. pasteurii exhibits greater sensitivity in specific urease activity, while L. sphaericus maintains a more consistent ureolysis performance. In terms of cell density, a lower OD600 (~0.1) enhances specific urease activity and early-stage mineralization efficiency, whereas a higher OD600 (~1.0) accelerates overall CaCO3 precipitation, enhances terminal-stage mineralization efficiency, and promotes the prolonged presence of vaterite. High reagent concentrations (1.0 and 1.5 M) enhance specific urease activity and CaCO3 precipitation rates and lead to over 93% of vaterite formation, while low reagent concentration (0.3 M) favors calcite-dominant precipitation over time. These findings provide insights into evaluating and optimizing MICP performance under varying incubation and reaction conditions. © 2025, The Authors. All rights reserved.

关键词： Carbonation

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Evaluation of HDPE plastic waste as a coarse aggregate substitute in Hot Rolled Sheet-Wearing Course asphalt mixtures 1

Evaluation of HDPE plastic waste as a coarse aggregate subst...

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1st engineering and Science International Conference 2024, ESIC 2024

作者： Desriantomy, D. Siantoni, J. Murniati, M. Department of Civil Engineering Faculty of Engineering Universitas Palangka Raya Kampus UPR Tunjung Nyaho Yos Sudarso Street Kotak Pos 2/PLKUP Palangka Raya Central Kalimantan73111 Indonesia Doctoral Program in Environmental Science Postgraduate Program Universitas Palangka Raya Kampus UPR Tunjung Nyaho Yos Sudarso Street Kotak Pos 2/PLKUP Palangka Raya Central Kalimantan73111 Indonesia

Plastic-based goods are commonly used in daily life, but their waste poses significant environmental challenges due to its durability. This study investigates the use of recycled plastic as an artificial coarse aggregate in asphalt mixtures, specifically assessing the effects of High-Density Polyethylene (HDPE) on Hot Rolled Sheet Wearing Course (HRS-WC) mixtures. The objectives are to evaluate the physical properties of the artificial coarse aggregates, identify the optimal asphalt content and Marshall characteristics, and determine the maximum feasible substitution level for these aggregates. A test specimen (briquette) was produced for the Marshall test to assess the mixture properties. Our findings indicate that the maximum allowable substitution of HDPE plastic in HRS-WC mixtures is 42%. With an optimal asphalt content of 7.30%, HDPE substitution levels of 30%, 35%, 40%, 45%, and 50% yielded the highest stability at 45% (1176.696 kg), the highest VMA at 30% (21.250%), and the highest VIM within specifications at 30% (4.998%). The highest VFB value was observed at 45% (88.767%), while the highest Marshall Quotient was at 30% (364.527 kg/mm). The study recommends a maximum HDPE plastic waste substitution level of 40%, highlighting the potential for using HDPE plastic waste in asphalt mixtures to promote more sustainable construction practices. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Aggregates

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Impact of climate change on rainfall erosivity in the Amazon and Cerrado biomes under CMIP6 scenarios

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Journal of Sedimentary Environments 2025年 1-16页

作者： de Mendonça, Leonardo Melo Blanco, Claudio Cruz, Josias da Silva Post-Graduation Program of Civil Engineering Federal University of Pará-PPGEC/ITEC/UFPA Belém Brazil School of Environmental and Sanitary Engineering Federal University of Pará-FAESA/ITEC/UFPA Belém Brazil

The objective of this work is to investigate the impact of Global Warming on the rainfall erosivity factor (R-Factor) in the Amazon and Cerrado biomes, regions with high agricultural productivity in Brazil. Thus, the mean monthly rainfall projected under two climate change scenarios (SSP2-4.5—intermediate and SSP5-8.5—most pessimistic) was used, based on the Multi-Model Ensemble comprising thirty-two Global Climate Models from the Coupled Model Intercomparison Project Phase 6. The simulations are post-processed using the Bias-Correction Spatial Disaggregation statistical downscaling method, with 0.25° × 0.25° spatial resolution. Linear Scaling was applied to correct systematic biases, based on the Climate Hazards Center InfraRed Precipitation with Station Data Version 2.0 and the reference period from 1981 to 2010. The monthly R-Factor was estimated using seven previously calibrated statistical models. The estimated values showed Kling-Gupta Efficiency ranging from 0.687 to 0.866, which are considered satisfactory. The reference monthly R-Factors ranged from 0 to 4140 MJ mm h⁻1 ha⁻1 month⁻1, while the reference annual R-Factor ranged from 5580 to 25,200 MJ mm h⁻1 ha⁻1 year⁻1, predominantly classified as very strong. Projected changes in the annual R-Factor until 2100 varied from − 2617 to 81 MJ mm h⁻1 ha⁻1 year⁻1 in the intermediate scenario, and from − 5564 to – 313 MJ mm h⁻1 ha⁻1 year⁻1 in the most pessimistic scenario. The Northern and Central regions of the Amazon exhibit the most intense rates of change in the annual R-Factor. However, the annual R-Factor class remains predominantly very strong under both analyzed scenarios.

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Sources of dissolved organic matter in initial rainwater and its photochemical activity

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Water Cycle 2025年 6卷 428-439页

作者： Yanting Xi Sihan Fan Yixin Liu Danni Cui Zhicheng Liao Ziwei Guo Chaochao Lai Haodong Zhang Zhe Zhang Fengxia Han Huan He Bin Huang Xuejun Pan Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming 650500 China Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming 650500 China Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed Kunming 650032 China Environmental Engineering and Science Program Department of Chemical and Environmental Engineering (DCEE) University of Cincinnati OH 45221 USA

The dissolved organic matter in initial rainwater (RDOM), including soil-dissolved organic matter (SDOM) and water-soluble organic matter (WSOM) in the atmosphere, can potentially mediate the migration and transformation of contaminants in natural water. However, researches on its sources, characteristics, and impact of environmental factors are limited. This study aims to investigate the main sources of RDOM and its properties influenced by environmental factors (such as light exposure and temperature variation). The results revealed that RDOM was mainly composed of SDOM. Temperature (–5°C, −20°C, temperature alternating, 40°C, 50°C, 60°C) induced the variation of SDOM components, altering its fluorescence characteristics, aromatic components, and hydrophobicity. And high temperature showed a more pronounced effect on SDOM components. However, temperature fluctuations had different impacts on the SDOM-mediated photodegradation of bisphenol A (BPA). Among them, only SDOM that had undergone freeze-thaw cycles exhibited a promotive effect on the photodegradation of BPA, with the most significant effect observed at −20°C. Illumination (ultraviolet light (UV) and natural light (NL)) consumed the chromophoric groups of SDOM, disrupted its intricate electron transfer structure, and reduced the production of •OH and Triplet-state dissolved organic matter ( 3 DOM∗). So, illumination, especially UV, significantly weakened its mediating effect on the photodegradation of BPA. Based on these findings above, RDOM through temperature increase and illumination potentially leads to an inhibition of the degradation rate of organic pollutants. Conversely, RDOM may exhibit an enhanced ability following a freeze-thaw process. This study is crucial for elucidating the environmental effects of RDOM.

关键词： Dissolved organic matter Initial rainwater Photochemical activity Photo modification Temperature changes

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A deep learning physics-informed neural network (PINN) for predicting drilled shaft axial capacity

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Applied Computing and Geosciences 2025年 26卷

作者： Al-Atroush, M.E. Civil and Environmental Engineering Program College of Engineering Prince Sultan University P.O. Box 66833 Riyadh Saudi Arabia

Accurately estimating the axial capacity of drilled shafts remains a persistent challenge in geotechnical engineering, as evidenced by significant discrepancies between measured load-test results and theoretical predictions. To bridge this gap, a novel Deep Learning–Physics-Informed Neural Network (DL-PINN) framework is proposed. Employing Meyerhof's bearing capacity equations as a physics-based constraint, the developed PINN integrated soil and geometric parameters directly into its training loss function. By combining these first-principles relationships with empirical data, the model preserved fundamental geotechnical mechanisms while refining predictive accuracy through dynamic weight adjustments between data-driven and physics-based loss components. Comparative experiments with a standard artificial neural network (ANN), using a dataset derived from the loaded-to-failure in-situ pile test and subsequent numerical simulations, demonstrated that although the ANN may attain lower statistical errors, the PINN's adherence to physical laws yields predictions that better align with established geotechnical behavior. This balance between physics fidelity and data adaptability may nominate these PINN frameworks to address the "black box" nature of deep learning in geotechnical applications. The paper also suggested the future research needs to fulfill the scientific and practical gap. © 2025 The Author

关键词： Well testing

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Enhancing Construction Claims Resolution Efficiency: A Systematic Review of the UAVs Applications in Construction Claim Management

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Journal of Legal Affairs and Dispute Resolution in engineering and Construction 2025年第3期17卷

作者： Al Omari, Mohammad Ataei, Hossein Seyrfar, Abolfazl Alqaisi, Aaraf Osman, Ibrahim Dept. of Civil Materials and Environmental Engineering Univ. of Illinois at Chicago 1200 W Harrison St. ChicagoIL60607 United States Construction Engineering and Management Program Dept. of Civil Materials and Environmental Engineering Univ. of Illinois at Chicago 1200 W Harrison St. ChicagoIL60607 United States

Construction claims correspond to the significant drain of top management energy, focus, financial resources, and time. Even utilized modern project management (PM) approaches in claim resolution did not offer comprehensive solutions. Incomplete resolution of a claim results in a dispute, a more challenging, lengthy, and complex problem. Some construction specialists have tried incorporating new technologies, exclusively unmanned aerial vehicles (UAVs), in construction to perform certain activities, contributing to enhanced efficiencies, productivity, and practicalities. While the available literature does contain rich discussions of UAV applications in various construction tasks, it does lack broad investigations on UAV rationale to resolve complicated claims. Accordingly, a systematic review is conducted to bridge this knowledge gap, identifying multiple UAV workabilities and feasibilities in claim resolution. A meta-analysis is applied to offer crucial statistics on claim value and length universally, clarifying UAV importance in minimizing corresponding financial losses and time. The systematic review outcomes revealed that UAVs could participate in supplying concise, rapid, massive, flexible, and high-resolution data to resolve claims. They can replace traditional physical inspection needed in particular situations, traveling to farthest sites, covering larger surface areas, collecting accurate data during snowy and rainy days or disasters, helping answer owner inquiries and unnecessary complaints, and resolving claims. Also, their feasibility is noted during snowy and rainy days or other situations where physical inspection is not possible, causing the postponement of meeting sessions, either in construction companies or courts, until proofs are provided. Their contribution is reflected in clarifying some gray data correlated with contract terms, delays, damages, site conditions, cost variations, rework, and misunderstandings. It is hoped that construction pro

关键词： Project management

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Mechanical properties of hydraulic concretes with partial replacement of Portland cement by pozzolans obtained from agro-industrial residues: A review

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Heliyon 2025年第1期11卷 e41004页

作者： Torres-Ortega, Ramon Torres-Sanchez, Diego Lopez-Lara, Teresa Engineering Program – Civil Engineering Program University of Cartagena Cartagena de Indias 130015 Colombia Department of Civil and Engineering Environmental Engineering Florida International University United States Faculty of Engineering Autonomous University of Queretaro Qro Santiago de Queretaro 76010 Mexico

The search for alternative material sources to conventional ones has had a significant impact on the construction sector today, driven by the implementation of sustainable development policies on a global scale. Alternative cementitious materials, such as agricultural industry by-products, have been introduced to ensure the efficient use of renewable natural resources while promoting a balance between the technical and economic aspects of infrastructure projects. This article provides an overview of research conducted on the use of pozzolans derived from agro-industrial by-products, such as rice husk ash (RHA), palm oil fuel ash (POFA), and sugarcane bagasse ash (SCBA), which have a high content of amorphous silica. This silica reacts with calcium hydroxide during the hydration process of Portland cement, leading to the production of calcium silicate hydrate (C-S-H) gel with cementitious properties. Investigations have explored the improvements these pozzolans provide in terms of compressive, flexural, and tensile strength in concretes where conventional Portland cement has been partially replaced by these materials. The influence of temperature and grinding processes used in their preparation was also determined, with optimal temperatures for obtaining amorphous silica ranging between 600 °C and 700 °C. Additionally, the optimal replacement levels for enhancing the mechanical properties of concrete were found to range between 10 % and 20 %. © 2024 The Authors

关键词： Agro-industrial by-products in concrete Natural pozzolans Pozzolanic concrete

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Zero Thermal Expansion Metamaterial Designs for Space Structures

Zero Thermal Expansion Metamaterial Designs for Space Struct...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Lu, Wei-Chun Oudghiri-Idrissi, Othman Poli, Andrea Arruda, Ellen M. Tol, Serife Department of Mechanical Engineering University of Michigan 2350 Hayward St Ann ArborMI48109 United States Fariborz Maseeh Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St AustinTX78712 United States Department of Mechanical Engineering Macromolecular Science and Engineering Program University of Michigan 2350 Hayward St Ann ArborMI48109 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The precision of space structures is sensitive to high-temperature variation during on-orbit operations. This work develops zero thermal expansion (ZTE) metamaterials that can be integrated into space structures to restrict large thermal deformation under precision requirements. The proposed bi-material ZTE metamaterial beams show extremely low coefficients of thermal expansion (CTE) for a wide temperature variation. Static and dynamic analyses are conducted on the designed metamaterials for performance evaluation. The proposed ZTE beam elements are integrated into a 48-meter rib of a space RF antenna to enhance its thermal precision over a wide temperature range. Further, experimental validation of the ZTE truss beam design is conducted in a thermal chamber to demonstrate its low thermal deformation compared to a reference aluminum truss beam. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Trusses

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Integrating clustering algorithms and machine learning to optimize regional snapshot municipal solid waste management for achieving sustainable development goals

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environmental Advances 2025年 19卷

作者： Taweesan, Achara Kanabkaew, Thongchai Surinkul, Nawatch Polprasert, Chongrak Department of Environmental Science Faculty of Science Ramkhamhaeng University Bangkok Thailand Occupational and Environmental Health Program Faculty of Public Health Thammasat University Pathumthani Thailand Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Thailand Department of Civil Engineering Faculty of Engineering Thammasat University Pathumthani Thailand

Effective municipal solid waste management (MSWM) is essential for sustainable urban development, significantly impacting environmental health, economic efficiency, and social well-being. It aligns with Sustainable Development Goal 11 (SDG11), which aims to make cities inclusive, safe, resilient, and sustainable by ensuring waste is safely managed from collection to disposal. This study evaluates the performance of MSWM practices across various cities in different regions, updated as of March 2023, to assess the achievement of SDG11. By reviewing published literature and conducting questionnaire surveys and key informant interviews with government authorities and service providers, data on access to managed MSW facilities were collected from 470 cities across various income-level regions to monitor MSWM progress toward SDG11 targets. Clustering algorithms and machine learning were employed to identify patterns and enhance MSWM practices across these regions, focusing on achieving SDG11. Hierarchical cluster analysis identified four clusters based on MSWM performance: high-income, upper-middle-income, lower-middle-income, and low-income regions. The developed decision-tree models provided a comprehensive analysis of effective MSW collection and disposal, achieving accuracies of approximately 75 % and 73 %, respectively. The models highlighted the importance of high collection coverage, proper disposal facilities, and robust institutional frameworks in achieving effective MSWM. The findings emphasize the need for targeted interventions and advanced analytical methods to enhance regional MSWM strategies, supporting the attainment of SDG11. © 2024 The Author(s)

关键词： Clustering algorithms Collection efficiency Machine learning Municipal solid waste management Sustainable development goal Treatment efficiency Waste management practices

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