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Research article

First published 2020-7

Influence of electrode configuration on impact damage evaluation of self-sensing hierarchical composites

Gabriela Carolina Uribe-Riestra, Jorge Andrés Ocampo-Bello, Fidel Gamboa [...]

Journal of Intelligent Material Systems and Structures

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Research article

First published 2000

Highway Network Bridge Fatigue Damage Potential of Special Truck Configurations

Jeffrey A. Laman, John R. Ashbaugh

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2011-2

Presence of Excessive Moisture and the Damage Mechanism in Alternative Hybrid Configurations of GFRP

L.C.F. Silva, F.R. Lahr, E.M.F. Aquino

Journal of Composite Materials

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Research article

First published 2010-7

Numerical analyses on influence of damage configuration on vibration parameters for lattice sandwich plate

Shuxia Tian, Zhenmao Chen, Lingli Chen [...]

International Journal of Applied Electromagnetics and Mechanics

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Review article

First published 2018-4

Validation of fatigue damage model for composites made of various fiber types and configurations

Asim Shahzad, Sana Ullah Nasir

Journal of Composite Materials

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Research article

First published 2017-8

Assessment of human bones encompassing physiological decay and damage using piezo sensors in non-bonded configuration

Shashank Srivastava, Suresh Bhalla, Alok Madan

Journal of Intelligent Material Systems and Structures

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Research article

First published 1992-6

Effect of Laminate Configuration and Impactor's Mass on the Initial Impact Damage of Graphite/Epoxy Composite Plates Due to Line-Loading Impact

Hyung Yun Choi, Hong Sheng Wang, Fu-Kuo Chang

Journal of Composite Materials

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Research article

First published 2017-8

A low-cost version of electro-mechanical impedance technique for damage detection in reinforced concrete structures using multiple piezo configurations

Naveet Kaur, Lingfang Li, Suresh Bhalla [...]

Advances in Structural Engineering

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Research article

First published 2023-11

Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data

Fadel Yessoufou, Jinsong Zhu

Structural Health Monitoring

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Research article

First published 2011-10

Determination of the nontraditional lay-up influence and loading configuration on fatigue damage development under bearing/bypass loading conditions using radiography

Carl G. Tompson, W. Steven Johnson

Journal of Composite Materials

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