Advances in Structural Engineering and Rehabilitation : Select Proceedings of TRACE 2018 / / edited by Sondipon Adhikari, B. Bhattacharjee, J. Bhattacharjee |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 248 p. 148 illus., 128 illus. in color.) |
Disciplina | 690 |
Collana | Lecture Notes in Civil Engineering |
Soggetto topico |
Buildings—Design and construction
Building Construction Engineering, Architectural Mechanics Mechanics, Applied Engineering geology Engineering—Geology Foundations Hydraulics Building Construction and Design Solid Mechanics Geoengineering, Foundations, Hydraulics |
ISBN | 981-13-7615-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Foreword -- 2. Structural Engineering -- 3. Structural Health Monitoring -- 4. Retrofitting of Structures -- 5. Earthquake Resistant Structures. |
Record Nr. | UNINA-9910366579503321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in structural technologies : select prooceedings of CoAST 2019 / / Sondipon Adhikari, Anjan Dutta, Satyabrata Choudhury, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIII, 428 p. 290 illus., 219 illus. in color.) |
Disciplina | 624 |
Collana | Lecture Notes in Civil Engineering |
Soggetto topico | Civil engineering |
ISBN | 981-15-5235-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Seismic Control and Performance of Passive Hybrid Damper under Near-Field Earthquakes -- Wall Effects on Terminal Velocity of Test Fuel Bundle in the Fuel Test Loop of High Flux Research Reactor -- Comparison of Seismic Performance of Composite (RCS) Frame with RC Frame using Pushover Analysis -- Investigating Load Withstand by L-Shape Concrete Cube, RCC Slab and To Safeguard Reinforcement of RCC Slab in Salt-Water Environment Using Cathodic Protection -- Performance Evaluation of Two-Way RC Slab Subjected to Blast Loading Using Finite Element Analysis -- Development of Fragility Curves for Different Types of RC Frame Structures -- Smart light weight MR Damper for Enhancement of Seismic Mitigation -- Rheological Behavior of Geopolymer Mortar with Fly ash, Slag and their Blending -- Effect of Pile Spacing and Raft Thickness on Behaviour of Piled-Raft Foundation – A Parametric Study Using Fem -- Removal of VOCs and Improvement of Indoor Air Quality Using Activated Carbon Air Filter. |
Record Nr. | UNINA-9910483384603321 |
Gateway East, Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari |
Autore | Marwala Tshilidzi <1971-> |
Pubbl/distr/stampa | Chichester, [England] : , : Wiley, , 2017 |
Descrizione fisica | 1 online resource (245 p.) |
Disciplina | 620.001/51825 |
Soggetto topico |
Finite element method
Bayesian statistical decision theory Engineering - Mathematical models |
ISBN |
1-119-15301-8
1-119-15300-X 1-119-15302-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Title Page ; Copyright; Contents; Acknowledgements; Nomenclature ; Chapter 1 Introduction to Finite Element Model Updating ; 1.1 Introduction; 1.2 Finite Element Modelling; 1.3 Vibration Analysis; 1.3.1 Modal Domain Data; 1.3.2 Frequency Domain Data; 1.4 Finite Element Model Updating; 1.5 Finite Element Model Updating and Bounded Rationality; 1.6 Finite Element Model Updating Methods; 1.6.1 Direct Methods; 1.6.2 Iterative Methods; 1.6.3 Artificial Intelligence Methods; 1.6.4 Uncertainty Quantification Methods; 1.7 Bayesian Approach versus Maximum Likelihood Method; 1.8 Outline of the Book
ReferencesChapter 2 Model Selection in Finite Element Model Updating ; 2.1 Introduction; 2.2 Model Selection in Finite Element Modelling; 2.2.1 Akaike Information Criterion; 2.2.2 Bayesian Information Criterion; 2.2.3 Bayes Factor; 2.2.4 Deviance Information Criterion; 2.2.5 Particle Swarm Optimisation for Model Selection; 2.2.6 Regularisation; 2.2.7 Cross-Validation; 2.2.8 Nested Sampling for Model Selection; 2.3 Simulated Annealing; 2.4 Asymmetrical H-Shaped Structure; 2.4.1 Regularisation; 2.4.2 Cross-Validation; 2.4.3 Bayes Factor and Nested Sampling; 2.5 Conclusion; References Chapter 3 Bayesian Statistics in Structural Dynamics 3.1 Introduction; 3.2 Bayes ́Rule; 3.3 Maximum Likelihood Method; 3.4 Maximum a Posteriori Parameter Estimates; 3.5 Laplaceś Method; 3.6 Prior, Likelihood and Posterior Function of a Simple Dynamic Example; 3.6.1 Likelihood Function; 3.6.2 Prior Function; 3.6.3 Posterior Function; 3.6.4 Gaussian Approximation; 3.7 The Posterior Approximation; 3.7.1 Objective Function; 3.7.2 Optimisation Approach; 3.7.3 Case Example; 3.8 Sampling Approaches for Estimating Posterior Distribution; 3.8.1 Monte Carlo Method 3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References Chapter 5 Dynamically Weighted Importance Sampling for Finite Element Updating 5.1 Introduction; 5.2 Bayesian Modelling Approach; 5.3 Metropolis-Hastings (M-H) Algorithm; 5.4 Importance Sampling; 5.5 Dynamically Weighted Importance Sampling; 5.5.1 Markov Chain; 5.5.2 Adaptive Pruned-Enriched Population Control Scheme; 5.5.3 Monte Carlo Dynamically Weighted Importance Sampling; 5.6 Application 1: Cantilevered Beam; 5.7 Application 2: H-Shaped Structure; 5.8 Conclusions; References; Chapter 6 Adaptive Metropolis-Hastings for Finite Element Updating ; 6.1 Introduction 6.2 Adaptive Metropolis-Hastings Algorithm |
Record Nr. | UNINA-9910166635403321 |
Marwala Tshilidzi <1971-> | ||
Chichester, [England] : , : Wiley, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Probabilistic finite element model updating using Bayesian statistics / / Tshilidzi Marwala and Ilyes Boulkaibet, Sondipon Adhikari |
Autore | Marwala Tshilidzi <1971-> |
Pubbl/distr/stampa | Chichester, [England] : , : Wiley, , 2017 |
Descrizione fisica | 1 online resource (245 p.) |
Disciplina | 620.001/51825 |
Soggetto topico |
Finite element method
Bayesian statistical decision theory Engineering - Mathematical models |
ISBN |
1-119-15301-8
1-119-15300-X 1-119-15302-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Title Page ; Copyright; Contents; Acknowledgements; Nomenclature ; Chapter 1 Introduction to Finite Element Model Updating ; 1.1 Introduction; 1.2 Finite Element Modelling; 1.3 Vibration Analysis; 1.3.1 Modal Domain Data; 1.3.2 Frequency Domain Data; 1.4 Finite Element Model Updating; 1.5 Finite Element Model Updating and Bounded Rationality; 1.6 Finite Element Model Updating Methods; 1.6.1 Direct Methods; 1.6.2 Iterative Methods; 1.6.3 Artificial Intelligence Methods; 1.6.4 Uncertainty Quantification Methods; 1.7 Bayesian Approach versus Maximum Likelihood Method; 1.8 Outline of the Book
ReferencesChapter 2 Model Selection in Finite Element Model Updating ; 2.1 Introduction; 2.2 Model Selection in Finite Element Modelling; 2.2.1 Akaike Information Criterion; 2.2.2 Bayesian Information Criterion; 2.2.3 Bayes Factor; 2.2.4 Deviance Information Criterion; 2.2.5 Particle Swarm Optimisation for Model Selection; 2.2.6 Regularisation; 2.2.7 Cross-Validation; 2.2.8 Nested Sampling for Model Selection; 2.3 Simulated Annealing; 2.4 Asymmetrical H-Shaped Structure; 2.4.1 Regularisation; 2.4.2 Cross-Validation; 2.4.3 Bayes Factor and Nested Sampling; 2.5 Conclusion; References Chapter 3 Bayesian Statistics in Structural Dynamics 3.1 Introduction; 3.2 Bayes ́Rule; 3.3 Maximum Likelihood Method; 3.4 Maximum a Posteriori Parameter Estimates; 3.5 Laplaceś Method; 3.6 Prior, Likelihood and Posterior Function of a Simple Dynamic Example; 3.6.1 Likelihood Function; 3.6.2 Prior Function; 3.6.3 Posterior Function; 3.6.4 Gaussian Approximation; 3.7 The Posterior Approximation; 3.7.1 Objective Function; 3.7.2 Optimisation Approach; 3.7.3 Case Example; 3.8 Sampling Approaches for Estimating Posterior Distribution; 3.8.1 Monte Carlo Method 3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References Chapter 5 Dynamically Weighted Importance Sampling for Finite Element Updating 5.1 Introduction; 5.2 Bayesian Modelling Approach; 5.3 Metropolis-Hastings (M-H) Algorithm; 5.4 Importance Sampling; 5.5 Dynamically Weighted Importance Sampling; 5.5.1 Markov Chain; 5.5.2 Adaptive Pruned-Enriched Population Control Scheme; 5.5.3 Monte Carlo Dynamically Weighted Importance Sampling; 5.6 Application 1: Cantilevered Beam; 5.7 Application 2: H-Shaped Structure; 5.8 Conclusions; References; Chapter 6 Adaptive Metropolis-Hastings for Finite Element Updating ; 6.1 Introduction 6.2 Adaptive Metropolis-Hastings Algorithm |
Record Nr. | UNINA-9910810896403321 |
Marwala Tshilidzi <1971-> | ||
Chichester, [England] : , : Wiley, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|