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Estimating the Coseismic Displacement of Ground Motions with Fling-Step Effect Based on an Intrinsic Timescale Decomposition Algorithm

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Bulletin of the Seismological Society of America 2025年第2期115卷 416-430页

作者： Geng, Yulong Pu, Wuchuan Xue, Yaohui Kong, Fan School of Civil Engineering and Architecture Wuhan University of Technology Wuhan China State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian China College of Civil Engineering Hefei University of Technology Hefei China

Strong ground motions resulting from the fling-step effect often exhibit significant static displacement. However, recorded ground-motion signals may display an unreasonable baseline offset because of contamination by low-frequency (LF) noise. Baseline correction is essential to eliminate this offset while preserving the coseismic displacement com-ponent. Many studies have generalized the two-stage offset model and proposed methods for empirically determining the starting times (t1 and t2 ) of the two stages with different levels of offset. To minimize errors caused by the subjective determination of t1 and t2, this article introduces a novel method for detecting optimal values of t1 and t2 and recovering the coseismic displacement of ground motions. The proposed approach uses an intrinsic timescale-decomposition-based filter to eliminate the LF offset component and introduces a quantitative index to identify the starting time points of the offset. After these time points are determined, the corresponding baseline offset is computed using the two-stage offset model. The effectiveness of this method is validated by com-paring its results with the coseismic displacement data recorded by dense Global Positioning System networks during the 1999 Chi-Chi earthquake and the 2011 Tohoku earthquake. In addition, several existing empirical baseline correction methods are assessed. The results confirm that the proposed method effectively removes the baseline offset and accurately recovers coseismic displacement from strong-motion records. © Seismological Society of America.

关键词： Earthquakes

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Effects of iron-oxidizing bacteria and humic acid of various molecular weights on iron corrosion in drinking water distribution systems

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Frontiers of Environmental Science & engineering 2025年第1期19卷 215-224页

作者： Ziyi Miao Hui Zhang Jie Zhang Zhuo Liu Zhiheng Xue Ghulam Abbas School of Environmental and Municipal Engineering Xi’an University of Architecture and TechnologyXi’an 710055China Huaxin Design Group Co. Ltd.Wuxi 214101China Department of Chemical Engineering and Technology University of GujratGujrat 50700Pakistan

Iron corrosion in drinking water distribution systems(DWDSs)is the root cause of the deterioration of drinking water *** acid(HA)is a critical component of dissolved organic matter in drinking ***,the influences of HA on iron pipe corrosion in DWDSs have not been fully understood,especially the combined effects of corrosive microorganisms and HA with different molecular weights(MWs).This study used bench-scale reactors to explore the impacts of ironoxidizing bacteria(IOB)(Microbacterium oxydans ZT-1,a common iron-oxidizing bacterium)and HA with different MWs on iron pipe *** 6 d,loose and porous goethite(α-FeOOH)was the most prevalent compound in the corrosion *** addition of ZT-1 and HA promoted iron corrosion and *** the condition of ZT-1+>100-kDa HA,the maximum values of corrosion rate and total iron concentrations were 0.23 mm/a and 9.94 mg/L,*** corrosion proceeded,magnetite(Fe3O4)formed from FeOOH,and Fe-HA complexes accumulated,resulting in deceleration of iron *** 54 d,the corrosion rate and total iron concentration had decreased by ZT-1,and HA with different MWs.

关键词： Iron-oxidizing bacterium(IOB) Humic acid(HA) Corrosion Iron release Drinking water distribution systems(DWDSs)

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Multiscale evaluation of tunnel construction safety risk: a case study of an offshore tunnel construction in Ningbo

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Journal of engineering and Applied Science 2024年第1期71卷 108页

作者： Wu, Ping Lin, Feng Huang, Jiamin Xu, Yidong School of Civil Engineering and Architecture NingboTech University Ningbo China School of Civil Engineering and Architecture Jiangsu University of Science and Technology Zhenjiang China Dongtai City Natural Resources and Planning Bureau Yancheng China School of Civil Engineering Chongqing Jiaotong University Chongqing China

Based on the WBS-RBS method, in this study, the risk factors corresponding to the construction risk events of an offshore tunnel foundation pit in Ningbo were identified, and the fuzzy comprehensive evaluation method was used to evaluate the construction safety risk of the project. The system-level risk value was obtained by using the risk event deformation resulting from changes in two factors, namely, "mechanical property of soil" and "stiffness of the envelope structure", to calculate the new event-level risk value corresponding to the deformation using a finite element numerical model. The findings indicate that the tunnel project has a risk evaluation score of 62.78 and thus falls within the category of high-risk projects. A change in risk factors will alter the likelihood that risk events will occur, which affects the safety risk status of the entire project. When two factors are coupled, a project’s system-level risk can increase dramatically. © The Author(s) 2024.

关键词： Sensitivity analysis

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Critical factors to formatting and stabilizing the vortex flow in the vortex ventilation system

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Building Simulation 2025年第2期18卷 403-421页

作者： Chen Zhang Yuqing Bai Zhixiang Cao Zefang Yang Tongtong Zhao Chao Zhai Wenchao Lv Yi Wang State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyNo.13 Yanta RoadXi’an710055ShaanxiChina School of Building Services Science and Engineering Xi’an University of Architecture and TechnologyNo.13 Yanta RoadXi’an710055ShaanxiChina

Vortex ventilation,which utilizes vortex airflow to effectively transport pollutants over long distances,is a promising method for pollution control in large spatial *** performance of vortex ventilation heavily depends on the stable generation and maintenance of column vortex airflow,necessitating a comprehensive understanding of the interactions among supply airflow,exhaust airflow,and pollutant *** this study,experimental method and transient computational fluid dynamics(CFD)method were employed to quantitatively analyze the influence of supply airflow characteristics and parameters on the formation of vortex *** was found that impingements between supply jet streams significantly affect the generation of vortex *** on variations in the flow shape of supply jet streams,the process of vortex airflow formation can be divided into three stages:initiation,oscillation,and *** the airflow rate increases,the impingement effect between the air jet streams makes the vortex unstable and the vortex intensity *** strategies were proposed to modify system geometry,including increasing the number of supply air inlets,adjusting the horizontal deflection angle of supply air,and enlarging the size of supply air *** the horizontal deflection angle of supply air was shown to minimize the negative pressure within the flow field to a minimum of−12 Pa and reduce the coefficient of variation to a minimum of 0.01,which proved most effective in enhancing vortex stability.

关键词： vortex ventilation system column air vortex transient CFD swirl ratio angular momentum

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An efficient and accurate numerical method for simulating close-range blast loads of cylindrical charges based on neural network

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Defence technology(防务技术) 2025年第2期44卷 257-271页

作者： Ting Liu Changhai Chen Han Li Yaowen Yu Yuansheng Cheng School of Naval Architecture and Ocean Engineering Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Naval Architecture and Ocean Engineering Hydrodynamics Wuhan 430074China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai 200240China

To address the problems of low accuracy by the CONWEP model and poor efficiency by the Coupled Eulerian-Lagrangian(CEL)method in predicting close-range air blast loads of cylindrical charges,a neural network-based simulation(NNS)method with higher accuracy and better efficiency was *** NNS method consisted of three main ***,the parameters of blast loads,including the peak pressures and impulses of cylindrical charges with different aspect ratios(L/D)at different stand-off distances and incident angles were obtained by two-dimensional numerical ***,incident shape factors of cylindrical charges with arbitrary aspect ratios were predicted by a neural ***,reflected shape factors were derived and implemented into the subroutine of the ABAQUS code to modify the CONWEP model,including modifications of impulse and *** reliability of the proposed NNS method was verified by related experimental *** accuracy improvement was acquired by the proposed NNS method compared with the unmodified CONWEP ***,huge efficiency superiority was obtained by the proposed NNS method compared with the CEL *** proposed NNS method showed good accuracy when the scaled distance was greater than 0.2 m/kg^(1/3).It should be noted that there is no need to generate a new dataset again since the blast loads satisfy the similarity law,and the proposed NNS method can be directly used to simulate the blast loads generated by different cylindrical *** proposed NNS method with high efficiency and accuracy can be used as an effective method to analyze the dynamic response of structures under blast loads,and it has significant application prospects in designing protective structures.

关键词： Close-range air blast load Cylindrical charge Numerical method Neural network CEL method CONWEP model

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Three‑dimensional numerical simulation of dynamic strength and failure mode of a rock mass with cross joints

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International Journal of Coal Science & technology 2024年第2期11卷 35-52页

作者： Tingting Liu Wenxu Huang Chang Xiang Qian Dong Xinping Li Chao Zhang Hubei Key Laboratory of Blasting Engineering Jianghan UniversityWuhan 430056China School of Civil Engineering and Architecture Wuhan University of TechnologyWuhan 430070China Hainan Institute Wuhan University of TechnologySanya 572025China

To study the dynamic mechanical properties and failure characteristics of intersecting jointed rock masses with different joint distributions under confining pressure,considering the cross angleαand joint persistence ratioη,a numerical model of the biaxial Hopkinson bar test system was established using the finite element method–discrete-element model coupling *** validity of the model was verified by comparing and analyzing it in conjunction with laboratory test ***-static combined impact tests were conducted on specimens under various conditions to investigate the strength characteristics and patterns of crack initiation and *** study revealed the predominant factors influencing intersecting joints with different angles and penetrations under impact *** results show that the peak stress of the specimens decreases first and then increases with the increase of the cross ***α<60°,regardless of the value ofη,the dynamic stress of the specimens is controlled by the main ***α≥60°,the peak stress borne by the specimens decreases with increasingη.Whenα<60°,the initiation and propagation of cracks in the cross-jointed specimens are mainly controlled by the main joint,and the final failure surface of the specimens is composed of the main joint and wing ***α≥60°orη≥0.67,the secondary joint guides the expansion of the wing cracks,and multiple failure surfaces composed of main and secondary joints,wing cracks,and co-planar cracks are *** lateral confinement significantly increases the dynamic peak stress able to be borne by the *** triaxial conditions,the degree of failure of the intersecting jointed specimens is much lower than that under uniaxial and biaxial conditions.

关键词： Cross joints Joint distribution form Dynamic failure characteristics FEM–DEM BHPB

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Effect of Polyaniline/manganese Dioxide Composite on the Thermoelectric Effect of Cement-based Materials

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Journal of Wuhan University of technology(Materials Science) 2023年第1期38卷 109-116页

作者：季涛 LIAO Xiao HE Yan 张士萍 ZHANG Xiaoying ZHANG Xiong LI Weihua School of Architecture and Civil Engineering Nanjing Institute of TechnologyNanjing 211167China College of Civil Engineering Qingdao University of TechnologyQingdao 266033China School of Civil Engineering Suzhou University of Science and TechnologySuzhou 215011China School of Materials Science and Engineering Tongji UniversityShanghai 201804China School of Chemical Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China

To enhance the thermoelectric effect of cement-based materials,conductive polyaniline(PANI)modified MnO_(2)powder was synthesized and used as a thermoelectric component in the cement *** nanostructured PANI was deposited on the surface of the nanorod-shapedα-MnO_(2)particle and the weight ratio of PANI to MnO_(2)was 22.3:77.7 in the *** synthesized PANI/MnO_(2)composite was nanostructured according to the SEM *** test results of the thermoelectric properties proved that the PANI/MnO_(2)composite was effective as the Seebeck coefficient and electrical conductivity values of the cement composites with PANI/MnO_(2)inside were 3-4 orders of magnitude higher than those of pure cement paste and the thermal conductivity values of these cement samples were *** obtained maximum figure of merit(ZT)value(2.75×10^(-3))was much larger than that of conductive materials reinforced cement-based *** thermoelectric effect of cement composites is mainly enhanced by the increased Seebeck coefficient and electrical conductivity in this work.

关键词： PANI/MnO_(2)composite cement composites thermoelectric effect Seebeck coefficient electrical conductivity

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New mechanistic insights into CO_(2) electroreduction to methane on penta-octa-graphene catalyst

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Journal of Energy Chemistry 2024年第12期99卷 529-540页

作者： Yirong Ma Jinbo Hao Baonan Jia Xinhui Zhang Chunling Zhang Ge Wu Changcheng Chen Yuanzi Li Zhiyuan Zhou Qiyu Li Pengfei Lu School of Science Xi'an University of Architecture and TechnologyXi'an 710055ShanxiChina School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China School of Integrated Circuits Beijing University of Posts and TelecommunicationsBeijing 100876China

Electrocatalytic reduction of CO_(2) to produce high value-added products is an important way to achieve sustainable production of green energy,but it is limited by high complexity of the catalyst structure and reaction process,making the rational design of the catalyst and the targeted generation of specific products a huge ***,based on the penta-octa-graphene(POG)with sp~2 and sp~3 hybrid as the prototype,we theoretically guide the design of CO_(2) electrocatalytic reduction(CO_(2)RR)catalyst over pure POG and TM doping POG(TM@POG).Our mechanistic study highlights two key factors in new pathway for CH_(4) production and catalytic performance,i.e.,TM provides electron transfer for the key intermediate*CHO,promoting the activation of CO_(2),and the type of protonation for CO_(2)RR is determined by the charge accumulation on the O atom of the *** reduces the complexity of the reaction and provides a predictive effect on the formation of *** importantly,the proper values of the Gibbs free energy indicate that TM@POG is an ideal catalyst candidate,especially the Fe@POG,which is superior to Cu(211)*** this basis,three simple descriptors(Bader charge,d-band centerε_dand descriptorφ)based on the inherent properties of atoms were constructed to reveal the underlying causes of the improvement of catalytic *** results provide a new understanding of the’structure-performance’relationship of carbon-based electrocatalysts,thus providing a useful strategy for the design of catalysts for CO_(2)RR.

关键词： Penta-octa-graphene Carbon dioxide reduction Catalytic descriptor First-principles calculation

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Influence of Gravel Soil Gradation Characteristics on Permeability Coefficient Based on Neural Network

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Journal of engineering Science and technology Review 2025年第1期18卷 120-126页

作者： Ma, Hao Jin, Dandan Wang, Tao Ahmad, Mirza Iftikhar Faculty of Civil Engineering and Mechanics Jiangsu University Zhenjiang212000 China School of Intelligent Construction Wuchang University of Technology Wuhan430223 China School of Mechanical Engineering Hefei University of Technology Hefei230009 China School of Civil Engineering and Architecture Wuhan University of Technology Wuhan430070 China

The permeability coefficient of gravel soil is closely related to gradation characteristics and plays a key role in engineering safety and stability. Among the studies on the correlation between gravel soil gradation characteristics and permeability coefficient, traditional empirical formulas and theoretical models are subjected to specific limitations, failing to accurately capture the complex nonlinear relations. In this study, considerable test data on gravel soil were collected. The model establishment, training, and optimization were performed using a backpropagation (BP) neural network. The complex relations between gravel soil gradation characteristics and permeability coefficient were explored. Moreover, the influence of each particle size on permeability coefficient was demonstrated. The prediction results of full gradation and common gradation were comparatively analyzed. Results show that, the prediction results on permeability coefficient by neural network are more accurate. In this study, the sample size is enlarged to 138 groups, which significantly improves the prediction accuracy. d60 is the boundary particle size. The permeability coefficient increases with the increase in the fine particles with a size of d60 or below, whereas it decreases as the coarse particles with a size above d60 increase. The influence degree of different particle gradations on permeability coefficient is heterogeneous. d10 is a high-sensitivity particle size, which exerts the greatest influence on permeability coefficient, followed by d20 and d40, which are medium-sensitivity particle sizes. The relative weights of other particle sizes are small, being low-sensitivity particle sizes. The influence of fine particles on permeability coefficient is greater than that of coarse particles, and full gradation achieves a better prediction result for permeability coefficient compared with common gradation. p5 is also a key factor affecting permeability coefficient. © (2025), (Interna

关键词： Gravel

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A fire risk pre-warning framework for high-rise buildings based on unascertained method

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Environmental Science and Pollution Research 2024年第52期31卷 61912-61926页

作者： Zhang, Li-Ning Wang, Xiang-Ming An, Jing Li, Hong Xian Guo, Jiao-Qian Han, Guo-Bo Gou, Peng-Fei School of Architecture Engineering North China Institute of Science and Technology Beijing101601 China School of Project Management The University of Sydney SydneyNSW2006 Australia School of Electronic Information Engineering North China Institute of Science and Technology Beijing101601 China School of Architecture and Built Environment Deakin University Geelong3220 Australia School of Mechanical and Electrical Engineering Beijing University of Technology Beijing100081 China

The growing global interest in preventing and controlling fires in high-rise buildings reflects the increasing significance of this issue today. This research aims to establish an early warning framework for fire risk in high-rise buildings. Firstly, considering the importance of a scientific indicator system for the application of the model, this study combines the event analysis method with the building design fire code to identify 11 key risk factors that have a far-reaching impact on the prevention of fires in high-rise buildings. Based on identifying the risk factors, a high-rise building fire risk warning tree is also established, which scientifically solves the problem of the indicator system of the warning object. Subsequently, in response to the various complex issues arising from the uncertainty of fire occurrence in high-rise buildings, this study adopts the unascertained method to model the fire risk of high-rise buildings for early warning. In addition, the developed methodology was empirically validated through case studies and analyses of empirical data on fire risks in nine representative high-rise buildings. The results of the unascertained method were also compared with the results of the K-means method, from which it was concluded that the unascertained method can predict building fires more accurately. The research results provide a reliable decision support system for fire disaster prevention and control in high-rise buildings. © The Author(s) 2024.

关键词： Tall buildings

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