Analytical Modeling Methods for R/C Shear Walls PDF Download
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Author: Peter Linde
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
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Book Description
Author: Peter Linde
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
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Book Description
Author: Peter Linde
Publisher:
ISBN:
Category : Concrete walls
Languages : en
Pages : 112
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Book Description
Author: Peter Linde
Publisher:
ISBN:
Category : Concrete walls
Languages : en
Pages : 196
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Book Description
Author: ACI Committee 440
Publisher:
ISBN: 9781945487590
Category : Fiber-reinforced concrete
Languages : en
Pages : 110
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Book Description
Author: P. Fajfar
Publisher: CRC Press
ISBN: 1851667644
Category : Architecture
Languages : en
Pages : 318
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Book Description
Forty scientists working in 13 different countries detail in this work the most recent advances in seismic design and performance assessment of reinforced concrete buildings. It is a valuable contribution in the mitigation of natural disasters.
Author: Hai Nguyendinh
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
A nonlinear automated parameter fitted analytical model that numerically predicts the load-displacement response of wood frame shear walls subjected to static monotonic loading with and without vertical load is presented. This analytical model referred to as Analytical Model of wood frame SHEar walls subjected to Vertical load (AMSHEV) is based on the kinematic behavior of wood frame shear walls and captures significant characteristics observed from experimental testing through appropriate modeling of three failure mechanisms that can occur within a shear wall under static monotonic load: 1) failure of sheathing-to-framing connectors, 2) failure of vertical studs, and 3) uplift of end studs from bottom sill. Previous models have not accounted for these failure mechanisms as well as the inclusion of vertical load, which has shown to reveal beneficial effects such as increasing the ultimate load capacity and limiting uplift of the wall as noted in experimental tests. Results from the proposed numerical model capture these effects within 7% error of experimental test data even when different magnitudes of vertical load are applied to predict the ultimate load capacity of wood frame shear walls.
Author: Hiroyuki Aoyama
Publisher: World Scientific
ISBN: 1860942393
Category : Technology & Engineering
Languages : en
Pages : 462
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Book Description
This book presents the results of a Japanese national research project carried out in 1988-1993, usually referred to as the New RC Project. Developing advanced reinforced concrete building structures with high strength and high quality materials under its auspices, the project aimed at promoting construction of highrise reinforced concrete buildings in highly seismic areas such as Japan. The project covered all the aspects of reinforced concrete structures, namely materials, structural elements, structural design, construction, and feasibility studies. In addition to presenting these results, the book includes two chapters giving an elementary explanation of modern analytical techniques, i.e. finite element analysis and earthquake response analysis.
Author: Biplab Das
Publisher: Springer Nature
ISBN: 9811598290
Category : Technology & Engineering
Languages : en
Pages : 802
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Book Description
This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Author: Ali Rezaiefar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: M. Z. Naser
Publisher: Elsevier
ISBN: 0128240741
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events
