Home › Fracture Mechanics › Fatigue of Materials and Structures: Physics and Data Science

Fatigue of Materials and Structures: Physics and Data Science

by Qingyuan Wang

Fatigue analysis across materials and structures

Regular price $99.93 USD
Regular price $111.04 USD Sale price $99.93 USD
Save 10%

Paperback New

Delivery to your door
In stock·Dispatches in 1–2 business days
Standard shipping* from $4.35
Standard shipping transit* 5–8 business days after dispatch

Faster options are available.

Rates and delivery estimates depend on your destination and item quantity. Estimates are informational only; the final shipping method and rate are selected at checkout.

Secure checkout
American Express Apple Pay DiscoverGoogle Pay Mastercard PayPalVisa
30-day eligible returns Returns & refunds policy

AlbakiReads Editorial

Fatigue analysis across materials and structures

Edited by Qingyuan Wang, this engineering volume examines fatigue failure through the connected stages of damage accumulation, crack initiation, and crack growth. Its scope spans material and structural analysis, deterministic and probabilistic methods, uniaxial and multiaxial fatigue, and cycles ranging from extremely low to very high. Alongside foundational theories and methods, it addresses additive-manufactured metals and other advanced materials, drawing on experimental evidence, simulation, and case studies. The book also considers how artificial intelligence and data analytics can be combined with physics-based fatigue modeling, with attention to reliability and risk management in design, maintenance, and operation.

Good fit for readers who enjoy

  • Graduate students studying fatigue, fracture mechanics, or structural integrity
  • Advanced engineering practitioners working on design, maintenance, or operation of structures
  • Readers interested in combining fatigue physics with data science and AI

Themes

Fatigue damage and crack growthStructural reliability and risk managementAdvanced and additive-manufactured materialsPhysics-based modeling and data science

Based on publisher information and book metadata.

Book overview

Fatigue failure of engineering materials and structures has long been a great challenge for structural integrity, reliability and safety in mechanical, civil and aerospace engineering. These failure mechanisms and their modeling are critical concerns for managing aging structures, and directly affect sustainability across society.

In this context, the fundamental theories and methods of fatigue failure of engineering materials and structures are discussed in detail. Fatigue damage accumulation, crack initiation and crack growth analysis are presented from materials to structures, deterministic to probabilistic fatigue, physics to data science, uniaxial to multiaxial fatigue, and extremely low cycle fatigue to very high cycle fatigue. The focus is on mechanical understanding and risk management for design, maintenance, and operation.

Some recent advancements include fatigue of additive manufactured (AM) metals and advanced materials, which could potentially transform fatigue analysis and offer new perspectives on fatigue failure mechanisms and reliability design. Both experimental supporting evidence and simulation benefits are demonstrated. It integrates recent developments in artificial intelligence with fatigue in AM metals and advanced materials. It provides case studies, and future research challenges for the fusion of fatigue physics modeling with data analytics, for graduate students and advanced practitioners.

Shipping & returnsShipping options, delivery timing, and our return policy.

In-stock items normally dispatch within 1–2 business days. The ZIP-code estimator on this page is informational only; the final shipping method, price, and availability are confirmed at checkout for your full order.

For the initial delivery estimate we use these transit windows after dispatch: Standard 5–8 business days, Expedited 2–4 business days, and Priority 1–2 business days. Holiday delays are not included.

Eligible items can be returned within 30 days in accordance with our return policy.

Customer reviews