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Prediction of bearing capacity of pile foundation using deep learning approaches

Frontiers of Structural and Civil engineering 2024年第6期18卷 870-886页

作者： Manish KUMAR Divesh Ranjan KUMAR Jitendra KHATTI Pijush SAMUI Kamaldeep Singh GROVER Department of Civil engineering SRM Institute of Science and Technology Tiruchirappalli CampusTrichy 621105India Department of Civil engineering National Institute of Technology PatnaBihar 800005India Department of Civil engineering Faculty of EngineeringThammasat School of EngineeringThammasat UniversityBangkok10200Thailand Department of Civil engineering Rajasthan Technical UniversityKota 324010India

The accurate prediction of bearing capacity is crucial in ensuring the structural integrity and safety of pile *** research compares the Deep Neural Networks(DNN),Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN),Long Short-Term Memory(LSTM),and Bidirectional LSTM(BiLSTM)algorithms utilizing a data set of 257 dynamic pile load tests for the first ***,this research illustrates the multicollinearity effect on DNN,CNN,RNN,LSTM,and BiLSTM models’performance and accuracy for the first time.A comprehensive comparative analysis is conducted,employing various statistical performance parameters,rank analysis,and error matrix to evaluate the performance of these *** performance is further validated using external validation,and visual interpretation is provided using the regression error characteristics(REC)curve and Taylor *** from the comparative analysis reveal that the DNN(Coefficient of determination(R^(2))_(training(TR))=0.97,root mean squared error(RMSE)_(TR)=0.0413;R^(2)_(testing(TS))=0.9,RMSE_(TS)=0.08)followed by BiLSTM(R^(2)_(TR)=0.91,RMSE_(TR)=0.782;R^(2)_(TS)=0.89,RMSE_(TS)=0.0862)model demonstrates the highest performance *** is noted that the BiLSTM model is better than LSTM because the BiLSTM model,which increases the amount of information for the network,is a sequence processing model made up of two LSTMs,one of which takes the input in a forward manner,and the other in a backward *** prediction of pile-bearing capacity is strongly influenced by ram weight(having a considerable multicollinearity level),and the effect of the considerable multicollinearity level has been determined for the model based on the recurrent neural network *** this study,the recurrent neural network model has the least performance and accuracy in predicting the pile-bearing capacity.

关键词： deep learning algorithms high-strain dynamic pile test bearing capacity of the pile

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Spatiotemporal variations of sand hydraulic conductivity by microbial application methods

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Journal of Rock Mechanics and Geotechnical engineering 2024年第1期16卷 268-278页

作者： Viroon Kamchoom Thiti Khattiwong Treesukon Treebupachatsakul Suraparb Keawsawasvong Anthony Kwan Leung Excellent Centre for Green and Sustainable Infrastructure Department of Civil EngineeringSchool of EngineeringKing Mongkut’s Institute of Technology Ladkrabang(KMITL)Bangkok10520Thailand Department of Biomedical engineering School of EngineeringKing Mongkut’s Institute of Technology Ladkrabang(KMITL)Bangkok10520Thailand Department of Civil engineering Thammasat School of EngineeringThammasat UniversityPrathumthani10200Thailand Department of Civil and Environmental engineering The Hong Kong University of Science and Technology(HKUST)Hong KongChina

The spatiotemporal distributions of microbes in soil by different methods could affect the efficacy of the microbes to reduce the soil hydraulic *** this study,the specimens of bio-mediated sands were prepared using three different methods,***,mixing,and pouring a given microbial so-lution onto compacted sand *** hydraulic conductivity was measured by constant-head tests,while any soil microstructural changes due to addition of the microbes were observed by scan-ning electron microscope(SEM)and mercury intrusion porosimetry(MIP)*** amount of dextran concentration produced by microbes in each type of specimen was quantified by a *** show that dextran production increased exponentially after 5-7 d of microbial settling with the supply of culture *** injection and mixing methods resulted in a similar amount and uniform dis-tribution of dextran in the *** pouring method,however,produced a nonuniform distri-bution,with a higher concentration near the specimen *** the supply of culture medium discontinued,the dextran content near the surface produced by the pouring method decreased dramatically due to high competition for nutrients with foreign *** dextran concentration was negatively and correlated with hydraulic conductivity of bio-mediated soils exponentially,due to the clogging of large soil pores by *** hydraulic conductivity of the injection and mixing cases did not change significantly when the supply of culture medium was absent.

关键词： Bio-mediated soil Dextran Hydraulic conductivity Leuconostoc mesenteroides Microbial application Microstructure

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Limit load and failure mechanisms of a vertical Hoek-Brown rock slope

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Journal of Rock Mechanics and Geotechnical engineering 2024年第3期16卷 1106-1111页

作者： Jim Shiau Warayut Dokduea Suraparb Keawsawasvong Pitthaya Jamsawang school of engineering University of Southern QueenslandToowoomba4350QLDAustralia Department of Civil engineering Faculty of EngineeringKing Mongkut’s University of Technology ThonburiBangkokThailand Research Unit in Sciences and Innovative Technologies for Civil engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityPathumthani12120Thailand Soil engineering Research Center Department of Civil EngineeringKing Mongkut’s University of Technology North BangkokBangkok10800Thailand

The problem considered in this short note is the limit load determination of a vertical rock *** classical limit theorem is employed with the use of adaptive finite elements and nonlinear programming to determine upper and lower bound limit loads of a Hoek-Brown vertical rock *** objective function of the mathematical programming problem is such as to optimize a boundary load,which is known as the limit load,resembling the ultimate bearing capacity of a strip *** focusing on the vertical slope,parametric studies are carried out for several dimensionless ratios such as the dimensionless footing distance ratio,the dimensionless height ratio,and the dimensionless rock strength ratio.A comprehensive set of design charts is presented,and failure envelopes shown with the results explained in terms of three identified failure mechanisms,*** face,the toe,and the Prandtl-type *** novel results can be used with great confidence in design practice,in particularly noting that the current industry-based design procedures for the presented problem are rarely found.

关键词： Bearing capacity Rock slope Vertical slope Finite element limit analysis Hoek-Brown yield criterion

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A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements

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Frontiers of Structural and Civil engineering 2024年第3期18卷 393-410页

作者： Tram BUI-NGOC Duy-Khuong LY Tam T TRUONG Chanachai THONGCHOM T.NGUYEN-THOI Laboratory for Computational Mechanics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Mechanical-Electrical and Computer engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Civil engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Department of Computer Science Aarhus UniversityAarhus 8000Denmark thammasat University research unit in structural and foundation engineering Department of Civil EngineeringThammasat UniversityPathumthani 12120Thailand Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam thammasat school of engineering Thammasat UniversityPathumthani 12120Thailand

The paper introduces a novel approach for detecting structural damage in full-scale structures using surrogate models generated from incomplete modal data and deep neural networks(DNNs).A significant challenge in this field is the limited availability of measurement data for full-scale structures,which is addressed in this paper by generating data sets using a reduced finite element(FE)model constructed by SAP2000 software and the MATLAB programming *** surrogate models are trained using response data obtained from the monitored structure through a limited number of measurement *** proposed approach involves training a single surrogate model that can quickly predict the location and severity of damage for all potential *** achieve the most generalized surrogate model,the study explores different types of layers and hyperparameters of the training algorithm and employs state-of-the-art techniques to avoid overfitting and to accelerate the training *** approach’s effectiveness,efficiency,and applicability are demonstrated by two numerical *** study also verifies the robustness of the proposed approach on data sets with sparse and noisy measured ***,the proposed approach is a promising alternative to traditional approaches that rely on FE model updating and optimization algorithms,which can be computationally *** approach also shows potential for broader applications in structural damage detection.

关键词： vibration-based damage detection deep neural network full-scale structures finite element model updating noisy incomplete modal data

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Performance evaluation of laterite soil embankment stabilized with bottom ash,coir fiber,and lime

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Journal of Mountain Science 2024年第7期21卷 2334-2351页

作者： Yunusa Hamdanu SANI Amin EISAZADEH school of Civil engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathum Thani 12120Thailand

In tropical regions,heavy rainfall induces erosion and shallow landslides on road ***-based stabilization methods,common in these regions,contribute to climate change due to their high carbon *** study explored the potential application of coir fiber-reinforced laterite soil-bottom ash mixtures as embankment materials in the *** objective is to enhance engineered embankment slopes'erosion resistance and stability while offering reuse options for industrial *** study examined various mix designs for unconfined compressive strength(UCS)and permeability,utilizing 30%bottom ash(BA)and 1%coir fiber(CF)with varying sizes ranging from 10 to 40 mm,6%lime,and laterite soil(LS),followed by microstructural *** results demonstrate that the compressive strength increases as the CF length increases to 25 *** contrast,permeability increases continuously with increasing CF ***-treated mixtures exhibit superior short-and long-term strength and reduce permeability owing to the formation of cementitious materials,as confirmed by microstructural analyses.A lab-scale slope box was constructed to evaluate the surface erosion of the stabilized laterite soil *** on the rainfall simulation results,the LS-BA-CF mixtures show better resistance to erosion and deformation compared to untreated LS,especially when lime is added to the top *** study provides insights into a sustainable and cost-effective approach for slope stabilization using BA and CF,offering a promising solution for tropical regions susceptible to surface erosion and landslides.

关键词： Lateritic soil Bottom ash Coir fiber lime Unconfined compressive strength Permeability FESEM/EDS Rainfall simulation tests

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Liquid Phase Exfoliation of 2D Materials and Its ElectrochemicalApplications in the Data-Driven Future

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Precision Chemistry 2024年第7期2卷 300-329页

作者： Panwad Chavalekvirat Wisit Hirunpinyopas Krittapong Deshsorn Kulpavee Jitapunkul Pawin Iamprasertkun school of Bio-Chemical engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathum Thani 12120ThailandResearch Unit in Sustainable Electrochemical IntelligentThammasat UniversityPathum Thani 12120Thailand Department of Chemistry Faculty of ScienceKasetsart UniversityBangkok 10900Thailand Department of Chemical engineering Faculty of EngineeringKasetsart UniversityBangkok 10900Thailand

The electrochemical properties of 2D materials,particularly transition metal dichalcogenides(TMDs),hinge ontheir structural and chemical *** be practicallyviable,achieving large-scale,high-yield production is crucial,ensuring both quality and electrochemical suitability forapplications in energy storage,electrocatalysis,and potentialbasedionic sieving membranes.A prerequisite for success is a deepunderstanding of the synthesis process,forming a critical linkbetween materials synthesis and electrochemical *** extensively examines the liquid-phase exfoliation technique,providing insights into potential advancements and strategies tooptimize the TMDs nanosheet yield while preserving theirelectrochemical *** primary goal is to compiletechniques for enhancing TMDs nanosheet yield through direct liquid-phase exfoliation,considering parameters like solvents,surfactants,centrifugation,and sonication *** addressing the exfoliation yield,the review emphasizes the potentialimpact of these parameters on the structural and chemical properties of TMD nanosheets,highlighting their pivotal role inelectrochemical *** evolving research methodologies,the review explores integrating machine learning anddata science as tools for understanding relationships and key *** to advance 2D material research,includingthe optimization of graphene,MXenes,and TMDs synthesis for electrochemical applications,this compilation charts a coursetoward data-driven *** bridging experimental and machine learning approaches,it promises to reshape the landscape ofknowledge in electrochemistry,offering a transformative resource for the academic community.

关键词： Liquid Phase Exfoliation 2D Materials Transition Metal Dichalcogenides TMDs Size Selection Electrochemistry Energy Storage Ionic Sieving Machine Learning

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Coupling N-doping and confined Co3O4 on carbon nanotubes by polydopamine coating strategy for pleiotropic water purification

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Rare Metals 2024年第7期43卷 3146-3160页

作者： Wen-Long Tu Gang Wang Yue Zhang Hong-Yang Zhu Rong-Rong Du Hong-Yao Zhao Sheng Tang Zeng-Jing Guo Jun Yang Fu Yang Cheng-Zhang Zhu school of Environmental and Chemical engineering Jiangsu University of Science and Technology school of Chemistry and Chemical engineering Liaocheng University school of Material Science and engineering Jiangsu University of Science and Technology school of Environmental Science and engineering Nanjing Tech University

The development of effective and sustainable solutions for pleiotropic water purification becomes urgent and *** Fenton-like catalysts for activation of peroxymonosulfate（PMS） to purify organic wastewater show great *** this work,by tuning metal loading with an in-situ polydopamine coating strategy,oxygen vacancy-enriched Co3O4loading on N-doped carbon nanotubes（CNTs） were constructed to enhance PMS activation efficiency for pollutants ***,the obtained modified CNTs afford a well-developed N-containing network structure,which is further endowed with abundant Co（Ⅱ）/Co（Ⅲ） redox cycles and significant metal-carbon *** particular,the surface N doping in CNTs might induce the oriented enrichment of pollutants around the catalyst,which reduces the migration distance and correspondingly improves the utilization of reactive oxidative *** electron transfer efficiency of the catalyst can be further improved by incorporating oxygen vacancy-enriched *** performance results show that the optimal NC/Co-1 could mineralize 20 × 10-6of bisphenol A（BPA） by almost 98% in 8 min.A low reaction activation energy(26.05 kJ·mol-1) in BPA degradation was demonstrated by the NC/*** importantly,NC/Co-1 can inherit excellent degradation performance towards oxytetracycline,2,4-dichlorophenol,and tetracycline,showing wide practical *** addition,by virtue of the photothermal conversion property,NC/Co-1 achieves an additive function for interfacial solar water evaporation(1.84 kg·m-2·h-1,112.51%),showing impressive potential for clean water recovery under complicated environmental pollution conditions.

关键词： Carbon nanotube Advanced oxidation process Co 3 O 4 Photothermal conversion Solar water evaporation

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Cooperative control for heterogeneous multi-agent systems: progress, applications, and challenges

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Science China(Information Sciences) 2024年第5期67卷 318-320页

作者： Bing YAN Peng SHI Jonathon CHAMBERS school of Electrical and Mechanical engineering Faculty of Science Engineering and TechnologyThe University of Adelaide school of engineering College of Science and Engineering University of Leicester

Cooperative control for heterogeneous multi-agent systems(MASs) is a critical and rapidly evolving field in modern automation and robotics. Characterized by the integration of agents with diverse capabilities and func... 详细信息

关键词： Multi agent systems

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One-step growth of ultrathin CoSe_(2)nanobelts on N-doped MXene nanosheets for dendrite-inhibited and kinetic-accelerated lithium-sulfur chemistry

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Science Bulletin 2024年第13期69卷 2059-2070页

作者： Chuanliang Wei Zhengran Wang Peng Wang Xinlu Zhang Xuguang An Jinkui Feng Baojuan Xi Shenglin Xiong school of Chemistry and Chemical engineering School of Materials Science and EngineeringShandong UniversityJinan 250100China school of Mechanical engineering Chengdu UniversityChengdu 610106China

The practical application of lithium–sulfur(Li–S)batteries is inhibited by the shuttle effect of lithium polysulfides(LiPSs)and slow polysulfide redox kinetics on the S cathode as well as the uncontrollable growth of dendrites on the Li metal ***,both cathode and anode sides must be considered when modifying LiS ***,two-dimensional(2D)ultrathin CoSe_(2)nanobelts are in situ grown on 2D N-doped MXene nanosheets(CoSe_(2)@N-MXene)via one-step solvothermal process for the first *** to its unique 2D/2D structure,CoSe_(2)@N-MXene can be processed to crumpled nanosheets by freeze-drying and flexible and freestanding films by vacuum *** crumpled CoSe_(2)@NMXene nanosheets with abundant active sites and inner spaces can act as S hosts to accelerate polysulfide redox kinetics and suppress the shuttle effect of LiPSs owing to their strong adsorption ability and catalytic conversion effect with ***,the CoSe_(2)@N-MXene film(CoSe_(2)@NMF)can act as a current collector to promote uniform Li deposition because it contains lithiophilic CoSe_(2)and N *** the systematic effect of CoSe_(2)@N-MXene on S cathode and Li metal anode,the electrochemical and safety performance of Li–S batteries are ***_(2)@NMF also shows excellent storage performances in flexible energy storage devices.

关键词： Ultrathin CoSe_(2)nanobelts N-doped MXene nanosheets In situ growth Flexible MXene-based films Li-S batteries

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Rapid Phase Ambiguity Elimination Methods for DOA Estimator via Hybrid Massive MIMO Receive Array

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Chinese Journal of Electronics 2024年第1期33卷 175-184页

作者： Xichao ZHAN Zhongwen SUN Feng SHU Yiwen CHEN Xin CHENG Yuanyuan WU Qi ZHANG Yifan LI Peng ZHANG school of Information and Communication engineering Hainan University school of Electronic and Optical engineering Nanjing University of Science and Technology

For a sub-connected hybrid multiple-input multiple-output(MIMO) receiver with K subarrays and N antennas, there exists a challenging problem of how to rapidly remove phase ambiguity in only single time-slot. A direction of arrival(DOA) estimator of maximizing received power(Max-RP) is proposed to find the maximum value of K-subarray output powers, where each subarray is in charge of one sector, and the center angle of the sector corresponding to the maximum output is the estimated true DOA. To make an enhancement on precision, Max-RP plus quadratic interpolation(Max-RP-QI) method is designed. In the proposed Max-RP-QI, a quadratic interpolation scheme is adopted to interpolate the three DOA values corresponding to the largest three receive powers of *** achieve the Cramer Rao lower bound, a Root-MUSIC plus Max-RP-QI scheme is developed. Simulation results show that the proposed three methods eliminate the phase ambiguity during one time-slot and also show low computational complexities. The proposed Root-MUSIC plus Max-RP-QI scheme can reach the Cramer Rao lower bound,and the proposed Max-RP and Max-RP-QI are still some performance losses 2–4 d B compared to the Cramer Rao lower bound.

关键词： Phased arrays Interpolation Wireless sensor networks Direction-of-arrival estimation Simulation Receiving antennas Massive MIMO

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