Applications of Statistics and Probability in Civil Engineering
Published on 15. July 2011
Book
Hardback
2824 pages
978-0-415-66986-3 (ISBN)
Description
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. Additionally, growing complexities of societal functionalities and
interdependencies among infrastructures and urban habitats amplify consequences of malfunctions and failures. Malevolence, sustainable developments and climatic changes have more recently been added to the list of challenges. Over the last decades, substantial progress has been made in assessing and quantifying risks. However, with regard to the broader utilization of risk assessment as a means for societal strategic and operational planning, there is still a great need for further development.
Applications of Statistics and Probability in Civil Engineering contains the proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP11, Zuerich, Switzerland, 1-4 August 2011). The book focuses not only on the more traditional technical issues, but also emphasizes the societal context of the decision making problems including the interaction between stakeholders. This holistic perspective supports the enhanced and sustainable allocation of limited resources for the improvement of safety, environment and economy. The book is of interest to researchers and scientists working in the field of risk and reliability in engineering; to professionals and engineers, including insurance and consulting companies working with natural hazards, design, operation and maintenance of civil engineering and industrial facilities; and to decision makers and professionals in the public sector, including nongovernmental organisations responsible for risk management in the public domain, e.g. building authorities, the health and safety executives, the United Nations and the World Economic Forum.
interdependencies among infrastructures and urban habitats amplify consequences of malfunctions and failures. Malevolence, sustainable developments and climatic changes have more recently been added to the list of challenges. Over the last decades, substantial progress has been made in assessing and quantifying risks. However, with regard to the broader utilization of risk assessment as a means for societal strategic and operational planning, there is still a great need for further development.
Applications of Statistics and Probability in Civil Engineering contains the proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP11, Zuerich, Switzerland, 1-4 August 2011). The book focuses not only on the more traditional technical issues, but also emphasizes the societal context of the decision making problems including the interaction between stakeholders. This holistic perspective supports the enhanced and sustainable allocation of limited resources for the improvement of safety, environment and economy. The book is of interest to researchers and scientists working in the field of risk and reliability in engineering; to professionals and engineers, including insurance and consulting companies working with natural hazards, design, operation and maintenance of civil engineering and industrial facilities; and to decision makers and professionals in the public sector, including nongovernmental organisations responsible for risk management in the public domain, e.g. building authorities, the health and safety executives, the United Nations and the World Economic Forum.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 246 mm
Width: 174 mm
Weight
1858 gr
ISBN-13
978-0-415-66986-3 (9780415669863)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Michael Faber | Jochen Koehler | Kazuyoshi Nishijima
Applications of Statistics and Probability in Civil Engineering
E-Book
07/2011
CRC Press
€906.99
Available for download
Michael Faber | Jochen Koehler | Kazuyoshi Nishijima
Applications of Statistics and Probability in Civil Engineering
E-Book
07/2011
1st Edition
CRC Press
€906.99
Available for download
Persons
Michael Faber, Jochen Koehler, Kazuyoshi Nishijima,
Content
Preface, Editor's foreword, Organization, Conference organization, Sponsors, GS_119 - Applications (1), GS_129 - Applications (2), GS_139 - Applications (3), GS_318 - Applications (4), GS_328 - Applications (5), GS_338 - Applications (6), MS_332 - Applications and new developments of system reliability assessment (theory), MS_114 - Bayesian networks for engineering risk analysis, MS_115 - Bridge traffic loading (1), MS_125 - Bridge traffic loading (2), GS_113 - Decision analysis, MS_116 - Fuzzy analysis and soft computing methods in reliability assessment and optimization (1), MS_126 - Fuzzy analysis and soft computing methods in reliability assessment and optimization (2), MS_136 - Fuzzy analysis and soft computing methods in reliability assessment and optimization (3), GS_238 - Life-cycle analysis, MS_215 - Maintenance and safety of aging infrastructure (1), MS_118 - Meta-models/surrogate models for uncertainty propagation, sensitivity and reliability analysis (1), MS_128 - Meta-models/surrogate models for uncertainty propagation, sensitivity and reliability analysis (2), GS_123 - Model selection, aggregation and testing for probabilistic seismic hazard assessment (1), GS_133 - Model selection, aggregation and testing for probabilistic seismic hazard assessment (2), MS_137 - Modelling for Risk management in construction projects, GS_316 - Natural hazards modeling, MS_226 - Performance-based design for structures subject to natural hazard (2), MS_124 - Probabilistic calibration of codes (1), MS_214 - Probabilistic methods for the assessment of existing concrete structures (1), MS_224 - Probabilistic methods for the assessment of existing concrete structures (2), MS_234 - Probabilistic methods for the assessment of existing concrete structures (3), MS_138 - Probabilistic methods in hydraulic and spatial structural analysis, GS_112 - Probabilistic modeling in engineering (1), GS_122 - Probabilistic modeling in engineering (2), GS_132 - Probabilistic modeling in engineering (3), GS_212 - Probabilistic modeling in engineering (4), MS_117 - Probabilistic modelling of the behaviour of timber in structures (1), MS_127 - Probabilistic modelling of the behaviour of timber in structures (2), MS_319 - Probabilistic models and methods for risk assessment of lifeline networks and decision support (1), MS_329 - Probabilistic models and methods for risk assessment of lifeline networks and decision support (2), GS_211 - Probabilistic seismic hazard analysis (1), GS_221 - Probabilistic seismic hazard analysis (2), GS_231 - Probabilistic seismic hazard analysis (3), MS_236 - Progresses and challenges in probabilistic modeling of tropical storm risks, MS_326 - Recent advances in geotechnical risk and reliability (1), GS_336 - Recent advances in geotechnical risk and reliability (2), GS_312 - Reliability methods (1), GS_322 - Reliability methods (2), MS_235 - Reliability of marine energy converters, MS_217 - Risk and reliability analysis for interdependent infrastructure systems (1), MS_227 - Risk and reliability analysis for interdependent infrastructure systems (2), GS_219 - Risk assessment (1), GS_229 - Risk assessment (2), MS_218 - Risk assessment and decision support systems for interdependent lifeline infrastructures (1), MS_228 - Risk assessment and decision support systems for interdependent lifeline infrastructures (2), MS_131 - Risk-based assessment of climate change adaptation, MS_323 - Robustness of structures (1), MS_333 - Robustness of structures (2), MS_237 - Social perspectives for hazards decision, MS_314 - Spatial probabilistic modeling of deterioration and inspection (1), MS_324 - Spatial probabilistic modeling of deterioration and inspection (2), MS_334 - Spatial probabilistic modeling of deterioration and inspection (3), GS_317 - Statistical investigations and probabilistic modeling (1), GS_327 - Statistical investigations and probabilistic modeling (2), MS_337 - Statistical investigations and probabilistic modeling (3), MS_331 - Stochastic models and simulation of earthquake ground motions, GS_222 - Structural reliability (1), GS_232 - Structural reliability (2), GS_311 - Structural reliability (3), GS_321 - Structural reliability (4), MS_315 - The treatment of uncertainties in large-scale stochastic systems (1), MS_325 - The treatment of uncertainties in large-scale stochastic systems (2), MS_213 - Uncertainty and imprecision in geotechnical and structural engineering (1), MS_223 - Uncertainty and imprecision in geotechnical and structural engineering (2), MS_233 - Uncertainty and imprecision in geotechnical and structural engineering (3), MS_313 - Uncertainty and imprecision in geotechnical and structural engineering (4), GS_111 - Uncertainty, statistics and probability (1), GS_121 - Uncertainty, statistics and probability (2)