Advanced SearchSearch Tips
A Study on Fatigue Crack Growth and Life Modeling using Backpropagation Neural Networks
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on Fatigue Crack Growth and Life Modeling using Backpropagation Neural Networks
Jo, Seok-Su; Ju, Won-Sik;
  PDF(new window)
Fatigue crack growth and life is estimated by various fracture mechanical parameters but affected by load, material and environment. Fatigue character of component without surface notch cannot be e valuated by above-mentioned parameters due to microstructure of in-service material. Single fracture mechanical parameter or nondestructive parameter cannot predict fatigue damage in arbitrary boundary condition but multiple fracture mechanical parameters or nondestructive parameters can Fatigue crack growth modelling with three point representation scheme uses this merit but has limit on real-time monitoring. Therefore, this study shows fatigue damage model using backpropagatior. neural networks on the basis of X-ray half breadth ratio B/ fractal dimension and fracture mechanical parameters can predict fatigue crack growth rate da/dN and cycle ratioN/ at the same time within engineering estimated mean error(5%).
Fatigue Damage Modelling;Backpropagation Neural Networks;Fatigue Crack Rate;Cycle Ratio;Estimated Mean Error;
 Cited by
역전파신경망을 이용한 구멍뚫기법의 편심 오차 예측,김철;양원호;허성필;정기현;

대한기계학회논문집A, 2002. vol.26. 3, pp.436-444 crossref(new window)
주원식, 오세욱, 허정원, 조석수, 1994,' SUS 304강의 크리프 온도역에 있어서 피로균열성장 거동에 관한 연구,' 대한기계학회논문집, 제18권, 제3호, pp. 548-554

Paris, P. C, and Erdogan, F., 1963, ASME Transactions, Ser., D. 85, p. 529

Elber, W., 1970, ' The significance of Fatigue Crack Closure,' Damage Tolerance in Aircraft Structures, STP-486, ASTM, pp. 230-243

W'bhler, A., 1860, ' Versuche uber die Festigkeit der Eisenbahnwagen-Achsen,' Zeitschrift fur Bauwesen

Coffin, L. F., Jr., 1954, ' A Study of the effects of Cyclic Thermal Stresses in a Ductile Metal,' ASME Transactions, Vol, 16, pp. 931-950

주원식, 조석수, 1996, ' 신경회로망을 이용한 고온 저사이클 피로균열성장 모델링에 관한 연구,' 대한기계학회논문집(A), Vol. 20, No. 9, pp. 2752-2759

奧田洋司, 宮崎博, 失川元基, 1996, 'ニュ-ラルネットワ-クを用いた非彈性應答のモデリング,' 日本機械學會論文集(A), Vol. 62, No. 597, pp. 1284-1290

X-Wu, J. Ghabousi., 1993, ' Modeling The Cyclic Behavior of Concrete Using Adaptive Neural Network,' Computational Mechanics, Vol. 1, pp. 1319-1329

김대수, 1989, Neural networks - Theory and Application, 하이테크정보, 서울, pp. 97-144

주원식, 박승용, 김득진, 조석수, 장득열, 1998, ' 평균기울기법에 의한 Al 2024-T3합금의 X선 반가폭과 피로수명비의 관계,' '98년도 한국정밀공학회 추계학술대회논문집( II),pp. 881-886

김민철, 1998, '역전파 신경회로망을 이용한 통합형 피로손상모델링에 관한 연구,' 동아대학교 석사학위논문, 동아대학교, pp. 11-22

장득열, 조석수, 김득진, 1998, ' 평면굽힘하중을 받는 표면미소균열의 프랙탈 특성에 관한 연구,' 삼척대학교 논문집, 제31집, pp.35-49

Tanaka. K, Hishide. T and Maekawa. O, 1982, Surface-crack Propagation in Plane Bending Fatigue of Smooth Specimen of Low-Carbon Stee 1,' Eng. Frac. Mech. Vol. 16, No.2, p. 207 crossref(new window)

西谷弘信, 後藤眞宏, 1985, '微少き裂(전)ば則と部材の疲勞壽命との關係,' 日本機械學會 論文集 (A), Vol. 51, No. 462, pp. 332-341

박승용, 김득진, 조석수, 주원식, 홍순혁, 1998, ' X선 반가폭을 이용한 SPCC강의 피로수명평가에 관한 연구.' '98 한국자동차공학회 춘계학술대회논문집 (II), pp. 768 -774

Mandelbrot, B. B., 1983, The Fractal Geometry of Nature, Freeman, Sanfrancisco, pp. 25-29