This paper briefly introduced our recent progresses in finite element based geocomputing and then focused on numerical simulation of coupled bioreaction-fluid flow dynamic behaviours during biogenic gas process from coal. The coal bioreactions for methane are described and modelled in the following four main steps: hydrolysis, acidogenesis, acetogenesis and methanogenesis-the formation of methane. The principal constituents are identified in the above reactions: the coal and microorganisms at solid state, the degradable coal, intermediate product, acetate and water (HO) at liquid state, CH and CO at gas state, and the governing equations to describe such coupled bioreaction-fluid flow dynamics are derived based on the mass conservation law. This is solved by finite element method on our PANDAS, and further applied in simulating and analysing the coupled biogenic gas process from coal, which demonstrate the usefulness of proposed algorithm in this paper.
{"title":"Finite element modelling of biogas process from coal","authors":"H. Xing","doi":"10.7511/JSLX201604033","DOIUrl":"https://doi.org/10.7511/JSLX201604033","url":null,"abstract":"This paper briefly introduced our recent progresses in finite element based geocomputing and then focused on numerical simulation of coupled bioreaction-fluid flow dynamic behaviours during biogenic gas process from coal. The coal bioreactions for methane are described and modelled in the following four main steps: hydrolysis, acidogenesis, acetogenesis and methanogenesis-the formation of methane. The principal constituents are identified in the above reactions: the coal and microorganisms at solid state, the degradable coal, intermediate product, acetate and water (HO) at liquid state, CH and CO at gas state, and the governing equations to describe such coupled bioreaction-fluid flow dynamics are derived based on the mass conservation law. This is solved by finite element method on our PANDAS, and further applied in simulating and analysing the coupled biogenic gas process from coal, which demonstrate the usefulness of proposed algorithm in this paper.","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"59 1","pages":"637-642"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71134024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stochastic discrete element modelling of rough particles-a random normal interaction law","authors":"Y. Feng","doi":"10.7511/JSLX201604032","DOIUrl":"https://doi.org/10.7511/JSLX201604032","url":null,"abstract":"","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"33 1","pages":"629"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71133797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional reliability-based design optimization(RBDO)is either computational intensive or not accurate enough.In this work,a new RBDO method based on Support Vector Machines(SVM)is proposed.For reliability analysis,SVM is used to create a surrogate model of the limit-state function at the Most Probable Point(MPP).The uniqueness of the new method is the use of the gradient of the limit-state function at the MPP.This guarantees that the surrogate model not only passes through the MPP but also is tangent to the limit-state function at the MPP.Then Importance Sampling(IS)is used to calculate the probability of failure based on the surrogate model.This treatment significantly improves the accuracy of reliability analysis.For optimization,the Sequential Optimization and Reliability Assessment(SORA)is employed,which decouples deterministic optimization from the SVM reliability analysis.The decoupling makes RBDO more efficient.The two examples show that the new method is more accurate with a moderately increased computational cost.
{"title":"Sequential Reliability-Based Optimization with Support Vector Machines","authors":"Yijun Wang, Xiongqing Yu, Xiaoping Du","doi":"10.7511/JSLX201304005","DOIUrl":"https://doi.org/10.7511/JSLX201304005","url":null,"abstract":"Traditional reliability-based design optimization(RBDO)is either computational intensive or not accurate enough.In this work,a new RBDO method based on Support Vector Machines(SVM)is proposed.For reliability analysis,SVM is used to create a surrogate model of the limit-state function at the Most Probable Point(MPP).The uniqueness of the new method is the use of the gradient of the limit-state function at the MPP.This guarantees that the surrogate model not only passes through the MPP but also is tangent to the limit-state function at the MPP.Then Importance Sampling(IS)is used to calculate the probability of failure based on the surrogate model.This treatment significantly improves the accuracy of reliability analysis.For optimization,the Sequential Optimization and Reliability Assessment(SORA)is employed,which decouples deterministic optimization from the SVM reliability analysis.The decoupling makes RBDO more efficient.The two examples show that the new method is more accurate with a moderately increased computational cost.","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71133774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1007/978-94-007-1839-5_36
Tianjun Lin, Z. Guan
{"title":"Fast Dynamic Mesh Moving Based on Background Grid Morphing","authors":"Tianjun Lin, Z. Guan","doi":"10.1007/978-94-007-1839-5_36","DOIUrl":"https://doi.org/10.1007/978-94-007-1839-5_36","url":null,"abstract":"","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"1 1","pages":"339-348"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51478569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-06-01DOI: 10.1142/S0219455408002636
Z. Wang, F. Au, Y. Cheng
A statistical method using frequencies of structures under control is proposed for detecting damage. In the study, feedback control based on independent modal space control is first used to assign the pole of the system under detection intentionally. Then the prescribed characteristic frequencies of the structure under control, which may be more sensitive to damage, are obtained and further employed to constitute a sensitivity-enhanced damage indicator (SEDI). The principle of sensitivity-enhancing feedback control for damage detection of multi-degree-of-freedom systems is elaborated. To overcome the effect of measurement noise on modal frequencies, a hypothesis test involving the t-test that utilizes the SEDI is employed to estimate the occurrence of damage, while a statistical pattern recognition method that uses the feature vectors including the SEDI is employed to locate damage. Based on the perturbation theory, the feature vectors are normalized in order to eliminate the effect of damage extent on damage localization. The proposed method is verified by examples including a three-span continuous beam with a single damaged element and the IASC-ASCE benchmark structure with a single damaged brace. Simulation results show that, by using the frequencies of the structures under control, the proposed damage indicators are more sensitive to damage and are capable of detecting and locating small damage of structures.
{"title":"STATISTICAL DAMAGE DETECTION BASED ON FREQUENCIES OF SENSITIVITY-ENHANCED STRUCTURES","authors":"Z. Wang, F. Au, Y. Cheng","doi":"10.1142/S0219455408002636","DOIUrl":"https://doi.org/10.1142/S0219455408002636","url":null,"abstract":"A statistical method using frequencies of structures under control is proposed for detecting damage. In the study, feedback control based on independent modal space control is first used to assign the pole of the system under detection intentionally. Then the prescribed characteristic frequencies of the structure under control, which may be more sensitive to damage, are obtained and further employed to constitute a sensitivity-enhanced damage indicator (SEDI). The principle of sensitivity-enhancing feedback control for damage detection of multi-degree-of-freedom systems is elaborated. To overcome the effect of measurement noise on modal frequencies, a hypothesis test involving the t-test that utilizes the SEDI is employed to estimate the occurrence of damage, while a statistical pattern recognition method that uses the feature vectors including the SEDI is employed to locate damage. Based on the perturbation theory, the feature vectors are normalized in order to eliminate the effect of damage extent on damage localization. The proposed method is verified by examples including a three-span continuous beam with a single damaged element and the IASC-ASCE benchmark structure with a single damaged brace. Simulation results show that, by using the frequencies of the structures under control, the proposed damage indicators are more sensitive to damage and are capable of detecting and locating small damage of structures.","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"08 1","pages":"231-255"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/S0219455408002636","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64411249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-01-01DOI: 10.1007/978-3-540-75999-7_88
S. C. Chen, Xinzheng Lu, A. Ren, J. Jiang
{"title":"Fiber Beam Element Model for the Collapse Simulation of Concrete Structures under Fire","authors":"S. C. Chen, Xinzheng Lu, A. Ren, J. Jiang","doi":"10.1007/978-3-540-75999-7_88","DOIUrl":"https://doi.org/10.1007/978-3-540-75999-7_88","url":null,"abstract":"","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"1 1","pages":"288-288"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-540-75999-7_88","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51063953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2001-01-01DOI: 10.2749/222137801796350158
Ji Li-jun
The dynamic behavior of long span suspension bridge is the key to the research of its windinduced vibration and seismic response. Since suspension bridge is a type of geometrical non|linear structure,its dynamic behavior is closely related to the inner force state.The static wind load would thoroughly change the inner force state of the structure, and consequently change the dynamic behavior.In this paper we explore the influence on the long span suspension bridge by static wind load and put forward our calculation method of the dynamic behavior of long span suspension bridge under static wind load.
{"title":"Research of the dynamic behavior of long span suspension bridges under static wind load","authors":"Ji Li-jun","doi":"10.2749/222137801796350158","DOIUrl":"https://doi.org/10.2749/222137801796350158","url":null,"abstract":"The dynamic behavior of long span suspension bridge is the key to the research of its windinduced vibration and seismic response. Since suspension bridge is a type of geometrical non|linear structure,its dynamic behavior is closely related to the inner force state.The static wind load would thoroughly change the inner force state of the structure, and consequently change the dynamic behavior.In this paper we explore the influence on the long span suspension bridge by static wind load and put forward our calculation method of the dynamic behavior of long span suspension bridge under static wind load.","PeriodicalId":35794,"journal":{"name":"计算力学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69254230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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