DESIGN OF AN INTELLIGENT PYTHON CODE FOR VALIDATING CRACK GROWTH EXPONENT BY MONITORING A CRACK OF ZIG-ZAG SHAPE IN A CRACKED PIPE

Published

July 27, 2019

Author(s)

Jeffrey T. Fong, Pedro V. Marcal, Robert B. Rainsberger, Nathanael A. Heckert, James J. Filliben

Abstract

When a small crack is detected in a pressure vessel or piping, we can estimate the fatigue life of the vessel or piping by applying the classical law of fracture mechanics for crack growth if we are certain that the crack growth exponent is correct and the crack geometry is a simple plane. Unfortunately, for an ageing vessel or piping, the degradation will, in practice, change not only the crack growth exponent but the crack shape from a simple plane to a zig-zag pattern. To validate the crack growth exponent for an ageing vessel or piping, we present the design of an Intelligent PYTHON (IP) code to convert the information of the growing crack geometry measured by monitoring a small crack that was initially detected and subsequently continuously monitored over a period of time such that the IP-based analysis code will use the realistic zig-zag crack geometry as a series of re-meshed finite-element meshes for finding the correct crack growth exponent. Using a numerical example, we show that such an IP-assisted continuous monitoring program, using PYTHON as the management tool, TRUEGRID as the topological crack meshing tool, and two finite-element analysis codes for verifiable stress analysis, is feasible for predicting more accurately the fatigue life of a cracked vessel or piping because the material model has a field-validated crack growth exponent. Significance and limitations of this IP-assisted approach are discussed.

Proceedings Title

Proceedings of the ASME 2019 Pressure Vessels & Piping Conference PVP2019 July 14-19, 2019, San Antonio, TX, USA

Conference Dates

July 14-19, 2019

Conference Location

San Antonio, TX

Pub Type

Conferences

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Keywords

ageing components, ageing structures, AI, artificial intelligene, crack growth exponent, crack initiation, crack propagation, NDE, nondestructive evaluation, failure prevention, fatigue modeling, finite element method, fracture mechanics, inspection interval, mathematial modeling, piping, precision structural integrity assessment, pressure vessel, PYTHON, SHM, statistical analysis, stochastic modeling, structural analysis, structural health monitoring, structural integrity, structural reliability, topological crack, TRUEGRID, uncertainty quantification, validation of material property parameters, zig-zag shape of a real crack

Citation

Fong, J. , Marcal, P. , Rainsberger, R. , Heckert, N. and Filliben, J. (2019), DESIGN OF AN INTELLIGENT PYTHON CODE FOR VALIDATING CRACK GROWTH EXPONENT BY MONITORING A CRACK OF ZIG-ZAG SHAPE IN A CRACKED PIPE, Proceedings of the ASME 2019 Pressure Vessels & Piping Conference PVP2019 July 14-19, 2019, San Antonio, TX, USA, San Antonio, TX, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927475 (Accessed May 20, 2024)