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Articles

Modeling Critical Mental Health Risk Factors for Construction Workforces

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By Apurva Pamidimukkala, Sharareh Kermanshachi, F.ASCEAuthor Affiliations
| ascelibrary.org
: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction Volume 18, Issue 4 Practical Applications This study highlights the critical mental health risks faced by construction workers in the United States, highlighting key stressors such as heavy workloads, long working hours, and poor working conditions.
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Reliability and Sustainability Trade-Offs for Drilled Shaft Designs in Sand

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By Mina Lee, Dipanjan Basu, F.ASCEAuthor Affiliations
| ascelibrary.org
Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Author Contributions Mina Lee: Data curation; Formal analysis; Investigation; Methodology; Software; Validation; Visualization; Writing – original draft.
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Railway Track Quality Assessment Using Topological Data Analysis

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By Petros Woldemariam, Nii Attoh-Okine, F.ASCEAuthor Affiliations
| ascelibrary.org
Practical Applications The topological track index (TTI) provides a practical enhancement to existing railway track monitoring and maintenance practices by capturing spatially structured geometric irregularities that may be underrepresented by conventional track quality indices (TQI). Current industry workflows rely primarily on statistical measures derived from track geometry inspection data to identify locations requiring corrective action.
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