25 Feb 2026

AIS Analysis of Waterway Utilization Based on Vessel Type and Class

Abstract: The purpose of this technical note (TN) is to provide an overview of a method used to classify waterway segments based on remotely-sensed vessel traffic on those waterway segments. Vessel traffic was evaluated using data from Automatic Identification System (AIS) broadcasts, which originate at transceivers onboard vessels and can be received by terrestrial shore sites or satellites. AIS is used by most ocean-going commercial vessels, while use by inland vessels varies according to domestic regulations.

23 Feb 2026

Ice Cutting and Removal for Cold Weather Improved Ribbon Bridge (IRB) Crossings

Frozen rivers provide an obstacle for any military force, as ice impedes the use of Improved Ribbon Bridges (IRBs) or other bridging vehicles. Finding an efficient way to cut and remove ice to allow for the emplacement of bridging assets is critical. The US Army Cold Regions Research and Engineering Laboratory’s (CRREL) Cold Weather IRB team went to Camp Grafton, North Dakota, to collect data for the North Dakota National Guard who were conducting a frozen wet gap crossing in February of 2022. Both quantitative and qualitative data were collected to evaluate strategies for ice cutting, removal, and IRB placement. After ice cutting and removal, an IRB bay was successfully placed in the frozen pond. Laboratory tests were conducted in March 2022 to examine different chainsaw chains for cutting an ice sheet grown in the Geophysical Research Facility (GRF) at CRREL. Chainsaws were determined to be an effective tool for cutting ice, and the speed and comfortability of different chains were documented. The data collected from this project will help to drive the North Dakota National Guard creation of a winter bridging course and will be used to update the Army’s Tactics Techniques and Procedures (TTPs) for cold weather bridging operations.

20 Feb 2026

Demonstration Validation of Industrial Supercritical Water Oxidation (iSCWO) PFAS Destruction Technology: Aqueous Film-Forming Foam Treatment by General Atomics (GA) iSCWO System

Abstract: The Department of Defense (DoD) is confronted with a pressing environmental challenge concerning legacy aqueous film-forming foam (AFFF) concentrate, historically used in firefighting activities. Legacy AFFF contains PFAS, which are identified as persistent environmental contaminants associated with adverse health effects. Considering increasing environmental regulations and concerns regarding human health impacts, the DoD needs to properly destroy legacy AFFF. The US Army Engineer Research and Development Center (ERDC) led a project focused on the demonstration and validation of technologies for the destruction of PFAS in AFFF. Results are presented for the treatment of 100 gal. of AFFF using the General Atomics industrial Supercritical Water Oxidation system. The demonstration showed destruction removal efficiencies (DREs) for total PFAS analyzed via total oxidizable precursor (TOP) assay (S24 PFAS), ranging from 98.5% to 99.9991%. No volatile fluorinated compounds were detected in the stack emissions as analyzed via Other Test Method 50; however, up to 6,000 ppt S51 PFAS as analyzed via TOP assay was detected in demister effluent. The energy consumed per cubic meter of AFFF and order of magnitude S24 PFAS destroyed ranged from 2 to 24 MWh, while the energy consumed per gram of S24 PFAS destroyed ranged from 0.046 to 48 MWh.

20 Feb 2026

Overview of the Coastal Storm Model Development and Results for the Deer Island Restoration Study Using the Engineering With Nature® Toolkit

Abstract: The Coastal and Hydraulics Laboratory of the US Army Engineer Research and Development Center presents this study as a comprehensive numerical model development and validation approach that can be employed to simulate winds, waves, and water levels during significant storm events for the Deer Island Restoration Project in Mississippi. Leveraging validated storms from the South Atlantic Coastal Study, this research utilized the Coastal Storm Modeling System with the coupled Advanced Circulation (ADCIRC) and Steady-State Spectral Wave (STWAVE) models. As part of this effort, the ADCIRC mesh was updated to encompass the Deer Island region and two variations on elevated water level scenarios were incorporated. Specifically, 10 validated storms were simulated, with varying sea-level conditions, to represent a range of feasibility-level proxy events from a 1- to 10,000-year annual exceedance frequency. The modeling outcomes provide a detailed depiction of water levels, wave heights, and storm surge impacts on Deer Island under different sea-level rise scenarios. These results offer critical insights into the potential effects of the restoration project on Deer Island and the surrounding areas. The findings can inform decision-makers and contribute to formulating effective guidelines for restoration projects within the Mississippi region and in coastal areas facing similar challenges worldwide.

18 Feb 2026

Infection Risk Assessment for Socially Structured Population Using Stochastic Microexposure Model

Abstract: Predicting infection outbreak dynamics within local microenvironments is a challenging task. Some methods assume smaller population pools and often lack the statistical power of inferences. Others are designed for larger population pools and cannot be downscaled to accommodate the details of microenvironments. Practicable infection risk assessment models should account for population size, geometry and occupancy of public places, behavioral and professional patterns of daily routines, and societal structure. This study is based on the stochastic microexposure model, which has been generalized to describe clustered populations. The methodology is demonstrated for a community of several thousand students on campus. The results indicate the social structure has the first order effect on the spread of the infection. Depending on the number, size, and degree of inner- and outer-cluster connections, the outbreak exhibits distinct durations, power, and multiple peaks of infection. Moreover, the contribution of different microenvironments to infection risk evolves during the course of the outbreak. Social structure plays a major role in infection spread and should be accounted for in risk prediction tools. The stochastic microexposure model accounts for the social structure of a population at multiple scales and can predict the dynamic contributions of different microenvironments to infection spread risks.

18 Feb 2026

Mesh Convergence Study of Adaptive Hydraulics (AdH) Version 5.9

Abstract: This report details performance and convergence tests of the Adaptive Hydraulics (AdH) v5.9 software suite on the Engineer Research and Development Center ONYX Cray X40/50 supercomputer. In particular, the performance of a recently developed monolithic model coupling AdH framework between the Richards equation for variable groundwater and surface water flows or for overland sloped conditions is studied. The effort is part of a quality assurance test of a recently restructured version of AdH. The report also includes a scalability analysis of AdH on a Cray system.

18 Feb 2026

Publications of the US Army Engineer Research and Development Center : Appendix J : FY25 (October 2024–September 2025)

Abstract: Each year, the US Army Engineer Research and Development Center (ERDC) publishes more than 200 reports through the Information Technology Laboratory’s Information Science and Knowledge Management (ISKM) Branch, the publishing authority for ERDC. Annually since 2017, ISKM has compiled a list of the previous fiscal year’s publications. This Appendix J to the original collection includes ERDC publications issued October 2024 through September 2025. The publications are grouped according to the technical laboratories or technical program for which they were prepared, and the preface includes procedures for obtaining ERDC reports. Through this compilation, online distribution, and physical collections, ISKM continues to support ERDC, the Army, and the nation.

18 Feb 2026

Modeling the Service Life of Temporary Airfield Operational Surfaces Under Multi-Pass Aircraft Trafficking

Abstract: Expeditionary Airfield (EAF) surfacing systems are designed to create temporary aircraft operating surfaces. Modeling the service life of EAF surfacing systems including the matting system, aircraft, and subgrade, has historically proven difficult, exacerbated by variability between systems and the multitude of mechanisms that can constitute failure. The study presented herein outlines the development and implementation of a performance modeling approach that includes a multi-scale scheme that accounts for local characteristics of the connection points of the EAF matting system, coupled to the global characteristics of the matting array to predict cyclic passes to failure. Finite element studies were conducted for an EAF surfacing system brickwork configuration subjected to aircraft strut loads over varying California Bearing Ratio (CBR) subgrades to calibrate a transfer function to full-scale trafficking experiments. The proposed framework is then used to predict the rate of subgrade deformation for additional lay patterns, which successfully ranked the performance of each relative to full-scale trafficking experiments. An approach is proposed to couple the rate of subgrade deformation with local finite element models to capture increasing joint damage as permanent deformation accumulates, and supplemented by a variable amplitude cycle counting and damage accumulation algorithm that yields reasonable agreement with full-scale experiments while capturing the transition in failure mechanisms at higher CBR values. The results of the study presented herein captures the propensity for end connector and subgrade failure over a range of subgrade CBRs and shows promise for a broader performance framework that can be extended to other EAF surfacing systems, aircraft types, and specific matting lay patterns.

18 Feb 2026

Civil Works Megaprojects: Cognitive Biases and Lessons for Effective Risk Mitigation

Abstract: U.S. Army Corps of Engineers (USACE) megaprojects are critical infrastructure investments that often experience cost overruns, schedule delays, and performance issues, with over 35 % of USACE dam structures rated in poor condition. This paper presents the first quantitative case study of past USACE Lock and Dam megaprojects—including the Charleroi, Chickamauga, Olmsted, Soo, and Montgomery projects —to identify patterns of risk mismanagement that contribute to these challenges. Using Bayesian methods and quantitative analysis on the risk registers of these projects, the study demonstrates that over-optimism in initial risk assessments, particularly the underestimation of risk likelihoods, can diminish the effectiveness of subsequent mitigation efforts by 25 % on average. The analysis also finds that risk managers tend to prioritize mitigation for risks where their confidence in assessment is highest, leaving higher-uncertainty risks less addressed. Based on these findings, the paper offers evidence-based recommendations for implementing structured risk governance frameworks, such as reference-class forecasting and external risk validation. This study advances project management knowledge by providing the first quantitative evidence of cognitive biases shaping risk register practices in civil works megaprojects. Incorporating such insights into future risk assessment and decision support methods can support critical infrastructure management and performance.

17 Feb 2026

Advancing Multi-Scale Wave Modeling: Global and Coastal Applications During the 2022 Atlantic Hurricane Season

Abstract: Using the six-month hurricane season of 2022 as a case study and the spectral wave model WAVEWATCH III, this effort shows that wave parameters produced via a variable-resolution global mesh (5–30 km) agree with a diverse array of validating observational datasets at a level comparable to that of a constant-resolution mesh (3 km) that is six times more costly to run. The optimized variable-resolution, unstructured triangular mesh is faithful to land geometry and wave transformation gradients while relaxing focus in deeper regions where gradients are typically less pronounced. Wave parameters measured via satellite altimetry, stationary buoy networks, and drifting buoys are employed to demonstrate not only a substantial increase in performance over a coarse, constant-resolution grid (40 km), with RMSE reduced from 0.28 m to 0.14 m and Correlation Coefficient (CC) improved from 0.92 to 0.98 overall, but also a comparable level of performance to that of a mesh that has undergone a full convergence analysis. Performance comparisons isolated to shallow regions and near cyclonic storms highlight the importance of resolving relevant geometries. For nearshore data, RMSE improves from 0.29 m to 0.13 m and CC from 0.89 to 0.98; in shallow regions, RMSE from 0.29 m to 0.15 m and CC from 0.88 to 0.97; and under cyclonic conditions, RMSE from 0.62 m to 0.35 m and CC from 0.93 to 0.98. Wave model results using the variable-resolution mesh were further analyzed to provide a detailed summary of the wave climate, including wind-wave and swell partitions, over the six-month study period in the study area.