Ashley Coleman
AI Structural Engineer at aistructuralreview.com
Ashley Coleman is a PhD candidate in structural engineering at the University of California, Berkeley, where her research focuses on performance-based seismic design and the integration of machine learning into structural health monitoring. She has contributed to studies on nonlinear finite element modeling and code-calibration for resilient infrastructure. Deep experience. Intellectual curiosity.
Editorial standards
Our editorial standards are built on an unwavering commitment to accuracy, independence, and integrity: every piece of content is rigorously fact-checked against primary sources, subjected to multiple layers of editorial review, and held to the highest standards of clarity, fairness, and transparency, ensuring that readers receive trustworthy, well-reasoned information free from bias, conflicts of interest, or sensationalism.
Questions? Contact the editorial desk.
Recent articles by Ashley Coleman
- Steel Frame Earthquake Design: 15% Premium vs Reoccupy or Demolish Choice September 26, 2026
- Earthquake building safety check: $850 vs $7,900 retrofit or wait September 23, 2026
- Steel frame weight cut: 30% steel saving fails pushover validation September 20, 2026
- Earthquake Analysis for Buildings: When Table 12.6-1 Rules Out Equivalent Lateral Force September 17, 2026
- Earthquake damping for buildings: Rayleigh vs Modal with 18-32% gap September 14, 2026
- Earthquake Drift in Concrete Frames: 2 Minutes vs 5.4 Hours at 8.7% Error September 11, 2026
- Steel frame earthquake analysis for 12-story: 18% base shear cut vs cost September 8, 2026
- ANSYS 2025 R1: 22% Steel Cut, Drift Limits, Site Class E September 5, 2026