|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910809217603321 |
|
|
Autore |
Vaidogas Egidijus Rytas |
|
|
Titolo |
Prediction of accidental actions likely to occur on building structures : an approach based on stochastic simulation / / Egidijus R. Vaidogas ; Vilnius Gediminas Technical University |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Vilnius : , : VGTU leidykla TECHNIKA, , 2007 |
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (249 p.) |
|
|
|
|
|
|
Soggetti |
|
Structural engineering - Computer simulation |
Structural engineering - Data processing |
Stochastic analysis |
Simulation methods |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Contents; Preface; Part I. The problem of accidental actions; 1. Current practice of description and prediction; 1.1 Industrial accidents & accidental actions; 1.2 Accidental actions: definition and classification; 1.3 Current practice of deterministic modelling accidental actions; 1.4 Knowledge available for selecting action models; 1.5 Principal probabilistic model of accidental action; 1.6 Classical statistical approach to modelling accidental actions; 1.7 Conclusion: the need of risk analysis for predicting accidental actions |
2. A brief overview of the situation of data related to accidental actions2.1 The need for diverse information; 2.2 Accident data; 2.3 Data on human reliability; 2.4 Concluding remarks; Part II. Prediction by means of stochastic accident simulation; 3. Classical bayesien approach to predicting accidental actions; 3.1 Introduction; 3.2 Form of action model; 3.3 Selection of action model; 3.4 Case study; 3.5 Expert judgment in Bayesian predicting accidental actions; 3.6 How to apply classical Bayesian action models to damage assessment? |
3.7 Conclusion: pros and cons of the classical Bayesian approach4. Predictive, epistemic approach to forecasting accidental actions; 4.1 Introduction; 4.2 Principles of application to accidental actions; 4.3 Form of action model; 4.4 Specifying the action model by a stochastic |
|
|
|
|