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SSRN 2024年

作者： Ataei, Soheil H. Adjami, Mehdi Gharechelou, Saeid Coasts Ports and Marine Structures Engineering Group Department of Water and Environmental Engineering Faculty of Civil Engineering Shahrood University of Technology Shahrood Iran Department of Geotechnical and Transport Engineering Faculty of Civil Engineering Shahrood University of Technology Shahrood Iran

Investigating coastal regions and shallow shores includes a set of hydrodynamic and morphodynamic interactions. Machine learning (ML) advances, establishing research sites, and collecting environmental and field data in coastal regions provide significant information that can be exploited to achieve coastal engineering goals. This study attempts to analyze Narrabeen Beach from a different aspect using ML. Post-storm recovery of a beach in the long term is a major factor in identifying its behavior. It is also essential to identify and describe phenomena affecting the equilibrium performance of a beach. Considering that the shoreline is the land-sea border, first, its changes and then coastal berm geometry changes were evaluated. Once the initial data had been sorted, the parameters affecting the objective functions were described using the regression decision tree (DT) algorithm. To obtain deeper insights into the descriptive data, the objective functions were predicted by an artificial neural network (ANN). The most optimal behavior pattern was evaluated using the error and complexity factors, and the most relevant scenarios were selected to describe the parameters affecting the objective functions (i.e., shoreline and coastal berm geometry changes). ∆BW, Berm Slope, SLR, and ζ were selected for the description of shoreline changes, with R2=82% and RMSE=3.489 m, BC height, ∆x shoreline, ∆x BC, and P were used for coastal berm height change description, with R2=48% and RMSE=0.397 m;and BW, berm slope, ∆y BC, BC height, E, and SLR were selected for describing the horizontal position of the berm crest, with R2=67% and RMSE=9.807 m. In the prediction section, the maximum R2 and minimum MSE were obtained 92.01% and 9.30 for shoreline changes, 77.43% and 0.140 for berm height changes, and 79.83% and 120.73 for the horizontal position of the berm crest;this represents satisfactory predictive performance. Based on the description of three objective functions, the effects o

关键词： Decision trees

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Depositional Environment of Sediments in Tonle Sap Sedimentary Basin, Western Part of Cambodia: Insights from Field and Geochemical Studies

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Open Journal of Geology 2023年第7期13卷 651-666页

作者： Sopheap Pech Chandoeun Eng Chanmoly Or Afikah Binti Rahim Ratha Heng Chitra Buth Sreymean Sio Research and Innovation Center Institute of Technology of Cambodia Phnom Penh Cambodia Faculty of Geo-Resources and Geotechnical Engineering Institute of Technology of Cambodia Phnom Penh Cambodia Faculty of Engineering Universiti Teknologi Malaysia Johor Malaysia Faculty of Engineering Chulalongkorn University Bangkok Thailand

Tonle Sap sedimentary basin was considered a favorable geological condition for hydrocarbon accumulation in the onshore Cambodia. Two exposure outcrops in Battambang province, called Somlout and Takream, were selected to represent sediments in this basin. The sedimentology and geochemistry studies provide insights into the depositional environment of sediments using field investigation, lithological, sedimentological, paleontological, and geochemical analysis. The redox condition, water column, and depositional setting were analyzed by plotting the ratio of V vs. Cr, Uauthigenic vs. V/Cr, Sr vs. Ba, Ca vs. (Fe + Ca), and Fe₂O₃/TiO₂ vs. Al₂O₃/(Al₂O₃ + Fe₂O₃) diagram. Moreover, these diagrams can be used to predict depositional conditions as well. Based on the results, Somlout and Takream comprise calcareous shale and limestone facies. The geochemical analysis showed that Somlout calcareous shale samples were deposited in the dysoxic freshwater of the lake setting during the regression, while Somlout limestones and Takream were deposited in high salinity seawater, oxic condition of shallow-marine water. In addition, Somlout limestones consist of fragmental fusulinid foraminifera, bivalve shelve, and bryozoan, which suggest a barrier environment. Meanwhile, Teakream consists of fine-grained calcareous shale, and lime-mudstone, which are presented to form in the quiet marine setting of the lagoon environment. Therefore, the Tonle Sap basin sediments were deposited in the Somlout area’s barrier and lake environment, and the lagoon environment for Takream.

关键词： Depositional Environment Sedimentary Basin Geochemistry Paleontology Tonle Sap

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Predicting Coastal Berm Changes in Non-Storm Scenarios with Machine Learning

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SSRN 2024年

作者： Jabari, Amir Adjami, Mehdi Gharechelou, Saeid Coasts Ports and Marine Structures Engineering Group Department of Water and Environmental Engineering Faculty of Civil Engineering Shahrood University of Technology Shahrood Iran Department of Geotechnical and Transport Engineering Faculty of Civil Engineering Shahrood University of Technology Shahrood Iran

Coastal erosion is one of the most destructive factors in these areas, influenced by natural factors and human activities. These regions are among the most vulnerable areas, and therefore, continuous monitoring and surveillance are of utmost importance. This study initially focuses on understanding the prevailing phenomena and their impact on the coastal region of Narrabeen, Australia, under non-storm conditions. Subsequently, employing the decision tree algorithm facilitated the identification of phenomena associated with the objective functions. Also, the objective functions include shoreline changes, variations in berm crest elevation, and the horizontal position of the berm crest. The decision tree algorithm results indicate that ∆BW, Berm Slope, and SLR were selected to describe shoreline changes, while BC Height, ∆x Shoreline, ∆x BC, and P were chosen to describe variations in Berm crest elevation. Moreover, BW, Berm Slope, ∆y BC, BC Height, E, and SLR were selected to describe the horizontal position of the berm crest. Subsequently, neural network algorithms are employed to predict objectives using output parameters obtained from the decision tree model. Shoreline changes were initially predicted to achieve an appropriate model, yielding an RMSE of 3.3 meters and R2 of 92% in the chosen scenario. Therefore, the results of predicting the berm crest elevation variation in the selected scenario showed an RMSE of 0.35 meters and R2 of 75%. Furthermore, in the obtained results of predicting the horizontal position of the coastal berm crest in the selected scenario, an RMSE of 9.28 meters and R2 of 85.80% were observed. The results demonstrate that the classification of parameters from the decision tree model significantly achieved acceptable results in the neural network model. Additionally, the neural network's results for predicting coastal phenomena are suitable and reliable. © 2024, The Authors. All rights reserved.

关键词： Storms

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Effect of granite waste and steel fibers on the mechanical properties of geopolymer concrete before and after fire exposure

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Journal of Materials Research and Technology 2025年 37卷 1106-1118页

作者： Peem Nuaklong Phonlayuth Thongpasuk Kantipok Hamcumpai Pitcha Jongvivatsakul Sawekchai Tangaramvong Thanyawat Pothisiri Suched Likitlersuang Research Unit in Science and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani 12120 Thailand Centre of Excellence in Innovative Construction Materials Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand GreenTech Nexus: Research Center for Sustainable Construction Innovation Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Centre of Excellence in Applied Mechanics and Structures Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Fire Safety Research Center Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Centre of Excellence in Geotechnical and Geoenvironmental Engineering Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand

This study investigates the post-fire performance and mechanical properties of geopolymer concrete incorporating granite industry waste as a full replacement for natural fine aggregates, reinforced with steel fibers. High-calcium fly ash was used to produce high-strength concrete cured at room temperature. The results indicated that incorporating granite waste and steel fibers reduced workability due to increased internal friction. The lowest slump flow (37 cm), observed in the mix with 2 % steel fibers, represented a 38 % reduction compared to the control mixture. Despite the reduced workability, the concrete achieved a 28-day compressive strength of 55 MPa and a 45 % increase in flexural strength with 2 % steel fibers. Toughness improved by up to 13 times compared to concrete without fibers. Post-fire testing showed that granite-waste concrete retained mechanical performance comparable to that made with natural sand. After 30 min of fire exposure, the residual compressive strength of concrete without fibers dropped to 39 % of its original value, while flexural strength decreased by approximately 70 %. Incorporating 1 % steel fibers increased toughness by 1.7–2.2 times, whereas 2 % fibers enhanced flexural strength retention by up to 10 % after 60 min of exposure. Microstructural analysis confirmed that steel fibers delayed crack propagation and influenced the thermal transformation of gel phases by increasing the silicon-to-aluminum and calcium-to-silicon ratios. These findings highlight the potential of granite waste and steel fibers as sustainable alternatives to natural aggregates and conventional reinforcement for enhancing both fire resistance and mechanical performance in geopolymer concrete.

关键词： Geopolymer concrete Steel fibers Granite waste Post-fire performance Recycled aggregates

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Modeling the Undrained Shear Strength with Soil Index Properties for Niger Delta Soft Clays

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Open Journal of Civil engineering 2023年第1期13卷 113-126页

作者： Chigozie Dimgba Ify L. Nwaogazie Akuro Big-Alabo Centre for Geotechnical and Coastal Engineering Research Department of Civil & Environmental Engineering University of Port Harcourt Port Harcourt Nigeria Department of Mechanical Engineering Faculty of Engineering University of Port Harcourt Port Harcourt Nigeria

The aim of this study was to model the Undrained Shear Strength (USS) of soil found in the coastal region of the Niger Delta in Nigeria with some soil properties. The undrained shear strength (USS) is a key parameter needed for most geotechnical/structural designs. Accurate determination of the USS of soft clays can be challenging to obtain in the laboratory due to the difficulty in remoulding the clay to its in-situ conditions before testing and more accurate test such as Cone Penetration test (CPT) can be quite expensive. This study was carried out at Escravos site which is located in Delta state, Nigeria. Three Boreholes were drilled and soil samples were collected at 0.75 m intervals up to a depth of 45 m. Laboratory tests were used to obtain the moisture content, bulk unit weight, liquid and plastic limit, while CPT was used in obtaining the undrained shear strength. Classification of the soil samples was done by adopting the Unified Soil Classification System and various models relating the USS with the soil properties were developed. The result showed that most of the soils at Escravos site were predominately inorganic clay of high plasticity which are problematic due to the expansion and shrinking nature of this type of soil. The model developed showed that the soil properties that gave the best fit with the USS were the moisture content and effective stress of the soil. The coefficient of determination (R²) and the root mean square error (RMSE) obtained for this model were 0.805 and 6.37 KN/m², respectively.

关键词： Undrained Shear Strength Inorganic Clay Escravos Multiple Regression Modelling

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Experimental investigation on the deformation characteristics of locking-steel-pipe(LSP)pile retaining structure during excavation in sand

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Underground Space 2022年第6期7卷 1098-1114页

作者： Shi Wei Rongzhu Liang Guoxiong Mei M.Hesham El Naggar Lianwei Sun Jinqing Jia Xiaohua Bao Xiaojian Wu Wenbing Wu Faculty of Engineering China University of GeosciencesWuhanHubei 430074China Guangxi Key Laboratory of Disaster Prevention and Engineering Safety College of Civil Engineering and ArchitectureGuangxi UniversityNanningGuangxi 530004China Geotechnical Research Centre Faculty of EngineeringThe University of Western OntarioLondonON N6A 5B9Canada Shanghai Construction Group Co. Ltd.Shanghai 200080China School of Civil Engineering Dalian University of TechnologyDalian 116024China College of Civil and Transportation Engineering Shenzhen UniversityShenzhenGuangdong 518060China

Locking-steel-pipe(LSP)piles connect with adjacent joints to form a pile row enclosure *** to the advantages of quick construction,efficiency in installation,and recycle utilization,the connected LSP piles are frequently used as retaining structure in deep ***,systematic studies of the deformation mechanism of the LSP pile retaining structure are rarely reported,and it still lack of experimental evidence to optimize the *** this study,a braced supported excavation experimental model test in sand was designed and conducted to investigate the deformation characteristics of LSP pile retaining *** dimensional(3D)printing technique was creatively applied to manufacture LSP model *** experimental results show that,a“S”shaped distribution of bending moments is observed along pile shaft when excavation is executed;the deflection of pile shaft develops deep-seated movements toward the excavation side as excavation went deeper,resulting in a“bowl”ground *** the deflection of LSP piles,a rotating trend was occurred between pairs of locking joint,and the severe open deformation of locking joint arose on excavation *** was a gradual reduction in earth pressure behind the LSP pile retaining wall with excavation *** earth pressure between two struts level had no obvious changing,owing to the supported effect of inner struts.

关键词： Locking-steel-pipe(LSP)piles Deep excavation Model test Deformation characteristics Three dimensional(3D)printing

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An improved model for predicting thermal contact resistance at multi-layered rock interface

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Journal of Central South University 2025年第1期32卷 229-243页

作者： WEN Min-jie XIE Jia-hao LI Li-chen TIAN Yi EL NAGGAR M.Hesham MEI Guo-xiong WU Wen-bing School of Civil Engineering and Architecture Zhejiang Sci-Tech UniversityHangzhou 310018China Faculty of Engineering Engineering Research Centre of Rock-Soil Drilling&Excavation and ProtectionMinistry of EducationChina University of GeosciencesWuhan 430074China Faculty of Civil Engineering and Mechanics Kunming University of Science and TechnologyKunming 650000China Geotechnical Research Centre Department of Civil and Environmental EngineeringWestern UniversityLondonOntarioCanada Ocean College Zhejiang UniversityZhoushan 316021China

This study proposes a general imperfect thermal contact model to predict the thermal contact resistance at the interface among multi-layered composite *** on the Green-Lindsay(GL)thermoelastic theory,semi analytical solutions of temperature increment and displacement of multi-layered composite structures are obtained by using the Laplace transform method,upon which the effects of thermal resistance coefficient,partition coefficient,thermal conductivity ratio and heat capacity ratio on the responses are *** results show that the generalized imperfect thermal contact model can realistically describe the imperfect thermal contact ***,it may degenerate into other thermal contact models by adjusting the thermal resistance coefficient and partition coefficient.

关键词： multi-layered structures general thermal contact model thermal contact resistance GL thermoelastic theory Laplace transform

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Application of two novel CPTu-based stratification models 5th

Application of two novel CPTu-based stratification models

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5th International Symposium on Cone Penetration Testing, CPT 2022

作者： Farhadi, M.S. Länsivaara, T. L’heureux, J.-S. Lunne, T. Faculty of Built Environment Department of Civil Engineering TERRA Research Center Tampere University Tampere Finland Norwegian Geotechnical Institute Geotechnics and Natural Hazards Oslo Norway

ISBN: (纸本)9781032312590

Two novel CPTu-based stratification models are applied to the measurements at four Norwgian sites, including a broad range of soil behavior types (SBTs). The two models, called RIGTOSS and SIGTOSS, are developed based on the recently proposed integrated Game Theory-optimization subgrounstratification (-IGTOSS) model. The RIGTOSS model includes two submodels classifying the SBTs based oeither the Fr-Qt or Bq-Qt charts by Robertson (1990);and similarly, the SIGTOSS model includes two submodels classifying the SBTs based on either the Fr-Qt or (Δu2/σ'v0) Qt charts by Schneider et al. (2012). The resuling stratification profiles of the four submodels were compared with the ones provided by experts, derived froextensive field and experimental testing. Similarity was observed and the results are promising. Differences this stage can be attributed to incompatibility of the classification charts with the Norwegian soils and more spcifically soil heterogeneities at the Øysand test site. © 2022 the Author(s).

关键词： Soils

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A pion decay constant in the multi-flavor Schwinger model 40

A pion decay constant in the multi-flavor Schwinger model

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40th International Symposium on Lattice Field Theory, LATTICE 2023

作者： Castellanos, Jaime Fabián Nieto Hip, Ivan Bietenholz, Wolfgang Instituto de Ciencias Nucleares Universidad Nacional Autónoma de México A.P. 70-543 Ciudad de MéxicoC.P. 04510 Mexico University of Zagreb Faculty of Geotechnical Engineering Hallerova aleja 7 Varaždin42000 Croatia

The pion decay constant Fπ plays an important role in QCD and in Chiral Perturbation Theory. It is hardly known, however, that a corresponding constant exists in the Schwinger model with Nf ≥ 2 degenerate fermion flavors. In this case, the "pion" does not decay and Fπ is dimensionless. Still, Fπ can be defined by 2d analogies to the Gell-Mann-Oakes-Renner relation, the Witten-Veneziano formula and the residual "pion" mass in the δ-regime. With suitable assumptions, and by inserting simulation data, these QCD-inspired relations are all compatible with Fπ 1/√2π at zero fermion mass, as we observe for Nf = 2, . . ., 6. We conclude that this is a meaningful constant in the multi-flavor Schwinger model. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Fermions

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Sensing, Digital, and Management Strategies to Enhance the Built Environment Resilience in Cities

Sensing, Digital, and Management Strategies to Enhance the B...

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2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024

作者： Cosoli, Gloria Mancini, Adriano Comodi, Gabriele Marinelli, Giovanni Revel, Gian Marco Mobili, Alessandra Galdelli, Alessandro Scarpelli, Giuseppe Domenella, Luca Tittarelli, Francesca Rossi, Mose Ferretti, Antonio Pantaloni, Monica Ancona Italy Università Telematica eCampus Faculty of Engineering Novedrate Italy Università Politecnica delle Marche Dept. of Information Engineering Ancona Italy Dept. DIISM Ancona Italy Università Politecnica delle Marche Dept. SIMAU Ancona Italy Università Politecnica delle Marche Dept. DIISM Ancona Italy Ancona Italy Geotechnical Engineering Services Ltd. Ancona Italy

ISBN: (纸本)9798350385014

Supporting the resilience of living environments is pivotal in a rapidly changing world, which has to co-exist with more and more frequent disruptive events. In order to cope with diverse hazards (e.g., earthquakes, landslides, blackouts, etc.), different technologies can contribute to develop a multidomain monitoring platform with a holistic perspective. Interoperability and modularity are fundamental to be able to regularly update and improve this tool according to the evolving needs of the whole ecosystem, considering living environments as well as citizens. This paper summarizes the innovative solutions developed by Universià Politecnica delle Marche within the framework of the reCITY project, including sensing, digital, and urban planning technologies, hence providing a versatile smart monitoring platform able to support emergency management and decision-making processes. © 2024 IEEE.

关键词： Uncertainty analysis

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