Probabilistic Failure Analysis and Reliability Engineering of Agricultural Hydraulic Structures in Nigeria

📖 ABSTRACT/OVERVIEW

This study develops a probabilistic failure analysis and reliability engineering framework for agricultural hydraulic structures in Nigeria, contributing original theoretical and applied methodological tools for structural safety assessment under Nigerian geotechnical, hydrological, and operational uncertainty conditions. Agricultural hydraulic structures including earth dams, weirs, irrigation canal headworks, and drainage culverts form critical infrastructure that, when they fail, impose severe consequences on agricultural livelihoods and downstream communities. Yet current design practice in Nigeria relies predominantly on deterministic safety factor approaches that do not account for the inherent variability in load and resistance parameters. This study develops a Monte Carlo simulation-based reliability analysis framework incorporating probabilistic descriptions of flood hydrology, soil strength parameters, construction quality variability, and structural deterioration rates. The framework is calibrated using failure history data from 47 documented agricultural hydraulic structure failures in Nigeria from 2005 to 2023, collected from River Basin Development Authority records, NEMA reports, and field investigations. Reliability index calculations are performed for representative structure types and size classes. First-order reliability method analysis identifies the most critical uncertainty sources for each structure type. Findings reveal that flood estimation uncertainty and geotechnical parameter variability are the dominant sources of structural reliability variation. Average reliability indices for existing Nigerian small earth dam designs fall below international target levels for class 2 structures. The study contributes an original Nigerian agricultural hydraulic structure reliability framework and recommends probabilistic design standards adoption by FMARD.

Keywords: reliability engineering, hydraulic structures, probabilistic analysis, Nigeria, structural safety.

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