{"product_id":"uncertainty-quantification-of-stochastic-defects-in-materials-hardback","title":"Uncertainty Quantification of Stochastic Defects in Materials - Hardback","description":"\u003cp\u003e\u003cstrong\u003eUncertainty Quantification of Stochastic Defects in Materials\u003c\/strong\u003e investigates the uncertainty quantification methods for stochastic defects in material microstructures. It provides effective supplementary approaches for conventional experimental observation with the consideration of stochastic factors and uncertainty propagation. Pursuing a comprehensive numerical analytical system, this book establishes a fundamental framework for this topic, while emphasizing the importance of stochastic and uncertainty quantification analysis and the significant influence of microstructure defects on the material macro properties.\u003c\/p\u003e\u003cp\u003eKey Features\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eConsists of two parts: one exploring methods and theories and the other detailing related examples\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDefines stochastic defects in materials and presents the uncertainty quantification for defect location, size, geometrical configuration, and instability\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eIntroduces general Monte Carlo methods, polynomial chaos expansion, stochastic finite element methods, and machine learning methods\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides a variety of examples to support the introduced methods and theories\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eApplicable to MATLAB® and ANSYS software\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book is intended for advanced students interested in material defect quantification methods and material reliability assessment, researchers investigating artificial material microstructure optimization, and engineers working on defect influence analysis and nondestructive defect testing.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45575618199790,"sku":"9781032128733","price":227.2,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/uncertainty-quantification-of-stochastic-defects-in-materials-hardback","provider":"Book Land AU","version":"1.0","type":"link"}