436 results (0,22019 seconds)

Show all filters

Brand

Show all

Colour

Show all

Size

Show all

Gender

Merchant

Show all

Price (EUR)

Reset filter

Products
From
Shops

High-Temperature Matrix Cracking Opening and Closure in Ceramic-Matrix Composites

High-Temperature Matrix Cracking Opening and Closure in Ceramic-Matrix Composites

Ceramic matrix composites (CMCs) can withstand higher temperatures reduce cooling airflow improve turbine efficiency and greatly reduce structural mass compared to the high temperature alloys. This book focuses on the matrix first/multiple cracking crack opening and closure behavior in CMCs at high temperatures. While conducting in situ experimental observations to analyze the damage mechanisms and failure modes the author develops micromechanical damage models and constitutive models to predict the first matrix cracking stress multiple matrix cracking density matrix crack opening displacement and cracking closure stress at high temperatures. The effects of composite’s constituent properties stress level and ambient temperature on matrix cracking opening and closure are also discussed. This book will help material scientists and engineering designers to understand and master the matrix cracking and closure behavior of fiber-reinforced CMCs. | High-Temperature Matrix Cracking Opening and Closure in Ceramic-Matrix Composites

GBP 74.99
1

Matrix Inequalities for Iterative Systems

Matrix Inequalities for Iterative Systems

The book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It unifies and generalizes several results for products and powers of sesquilinear forms derived from powers of Hermitian positive-semidefinite as well as nonnegative matrices. It shows that some inequalities are valid only in specific cases. How to translate the Hermitian matrix results into results for alternating powers of general rectangular matrices? Inequalities that compare the powers of the row and column sums to the row and column sums of the matrix powers are refined for nonnegative matrices. Lastly eigenvalue bounds and derive results for iterated kernels are improved. | Matrix Inequalities for Iterative Systems

GBP 44.99
1