Failure Case Studies in Civil Engineering: Structures Foundations and the Environment
Bibliographic record
Abstract
Sponsored by the Technical Council on Forensic Engineering of ASCE. Failure Case Studies in Civil Engineering: Structures, Foundations, and the Geoenvironment, Second Edition, provides short descriptions of 50 real-world examples of constructed works that did not perform as intended. Designed for classroom use, each case study contains a brief summary, lessons learned, and references to key sources. This new edition, which replaces the 1995 classic edited by Robin Shepherd and J. David Frost, offers expanded descriptions, additional photographs and diagrams, and updated references. It also includes new case studies, such as the Alfred P. Murrah Federal Building, the Charles de Gaulle Airport Terminal, and the North Battleford, Saskatchewan, Water Treatment Plant. Topics include: foundation failures; embankment, dam, and slope failures; geoenvironmental failures; bridge failures; and building failures. This book supplies valuable resource material on typical failures that can be integrated into undergraduate engineering courses. Engineering professors and their students will use this book as the basis for class discussions, a starting point for further research, and a demonstration of how each failure leads to improved engineering design and safety.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".