4 May 2026

An Investigation of Causes of Inaccuracy of Infrared Radiation Cameras for Large-Scale Additive Manufacturing Applications

Abstract: In additive manufacturing, accurate temperature data are needed for both real-time feedback for print operators and understanding the thermomechanical behavior for prediction and part quality characterization. Through the collection of accurate temperature data, thermal models can be validated to predict process-induced properties of parts. Infrared radiation (IR) is used to determine the temperature of a surface. Because IR cameras measure thermal radiation from a distance without contact, they are safe to use in high-temperature environments like 3D printing. An investigation of reported temperature values for multiple cameras during one print showed a decreasing trend for cameras close to the printer’s heat sources, which was not reflective of the printing process, and a discrepancy of ±20°C when printing at 200°C across overlapping camera views. Two more prints were studied to determine whether this camera behavior was unique to that print and geometry. The analysis showed the same results across all three prints, with camera-reported values having inconsistencies for a single layer, a subset of layers, and the scale of the print. Multiple possibilities for the cameras’ variances were explored. The IR cameras were determined to require further calibration and experimentation before reported temperature values can be treated as physical temperature values.

4 May 2026

Applying Direct Numerical Simulations to Investigate Wave Forcing Against a Vertical Wall

Abstract: Current engineering standards lack the ability to predict the peak impact forces of breaking waves impinging directly upon coastal structures. In this study solitary waves impacting vertical and tapered walls are investigated. To capture the detailed physics of the wave profile that impacts the wall, two-dimensional direct numerical simulations are applied to model the wave traveling over a simplified bathymetry consisting of an initially uniform depth, followed by a uniform beach ramp and then terminating in a uniform depth inshore region and vertical wall. Such an approach can simulate wave runup on land and then the impact with the vertical or tapered walls. The wall location in the bathymetry was varied to simulate different types of wave impacts, including non-breaking, plunging, and bores. The resulting wave characteristics and wall impact pressures were compared across these varying regimes. The associated wave impact force was extracted and compared to various standards used in coastal engineering, and severe underestimation has been found for plunging and weak plunging type impacts. To address this, in this study, a dimensionless distance parameter has been proposed to provide a unifying trend in regards to the peak impact forcing across the various impact types.

29 Apr 2026

Bridge Load Rating for US Army Installations: Guidance

Abstract: This report summarizes Army policy and provides technical guidance for the load rating of vehicular and railroad bridges on US Army installations. These bridges must be load rated to determine and ensure their abilities to support the Army’s heavy military vehicles as well as all public-sector cars, trucks, or trains (in the case of railroad bridges). Installation bridge management and load ratings are accomplished under the Installation Management Command (IMCOM) Army Dams and Transportation Infrastructure Program (ADTIP), with technical support from the US Army Engineer Research and Development Center (ERDC).

29 Apr 2026

Deep Learning Approaches for Buried Object Detection in Infrared Imagery

Abstract: Artificial intelligence and machine learning techniques are increasingly utilized to detect buried objects in thermal infrared imagery. This task relies heavily on the quality and diversity of the training dataset, requiring datasets that capture variability present in real-world environments. Synthetic imagery offers a means to expose algorithms to a greater range of conditions than is often available in real-world data alone. This study evaluates the performance of three open-source object detection models—Faster Region-Based Convolutional Neural Network (R-CNN), You Only Look Once (YOLOv8), and Single Shot Multibox Detector—trained using real-world, synthetic, and hybrid datasets. Real-world imagery was collected from a single field site, while synthetic data were generated using the Virtual Environmental Simulation for Physics-Based Analysis software suite. Model performance was evaluated using Intersection over Union and confidence scores. Models trained exclusively on synthetic datasets with limited scene diversity, when tested on real-world imagery from the same location, produce high false-positive and false-negative rates. Detection performance im-proved significantly for Faster R-CNN and YOLOv8 when trained using a hybrid dataset combining real-world and synthetic data. Analysis of red-green-blue histograms revealed differences in pixel intensity distributions between real and synthetic imagery, indicating areas for improving synthetic data generation.

29 Apr 2026

Forward Operating Remote Camera for Engineering—Construction Assurance and Monitoring (FORCE-CAM), Generation 1

Abstract: This research delivered a first-generation, real-time construction monitoring capability, enabling visual situational awareness for off-site subject matter experts. The live-streamed and recorded data can be visualized from a remote computer desktop to aid in identifying non-conformance issues during active paving operations or during concrete damage assessment and repair operations. Experimentation on asphalt paving and skid-steer construction equipment using direct electro-optical and thermal sensors provided validation of the efficacy of this solution.

28 Apr 2026

Is the Ordinary High Water Mark Ordinarily at Bankfull? Applying A Weight-of-Evidence Approach to Stream Delineation

Abstract: The ordinary high water mark (OHWM) is a regulatory boundary essential to identifying the lateral jurisdictional limits of rivers and streams in the United States (U.S.). Bankfull is a scientific concept that has been defined and identified in a multitude of ways by scientists. Geomorphologist and hydrologist have long recognized that there can be variability in the identification of bankfull depending on how bankfull is defined. Furthermore, this variability is only increased by the inherent variability in stream characteristics that occurs along a reach of channel. Because of the overlap in the regulatory definition of OHWM and the scientific definitions of bankfull, one of the primary purposes of the study is to apply the definition of OHWM and compare it to bankfull in a variety of channel types in different climatic, hydrologic, and geologic settings. Our results show that there is a clear overlap between the identification of the OHWM and bankfull elevations. Regulatory practitioners are generally not specialized in fluvial geomorphology and yet are tasked with consistently and accurately identifying the OHWM in a variety of stream types throughout the U.S. Therefore, we also present how to apply a weight-of-evidence approach through a clear step-by-step process to potentially improve consistency and accuracy in identification of OHWM and bankfull by both scientists and non-scientists.

27 Apr 2026

Beneficial Use and Sources of Shoaled Material at Kahului Harbor

Abstract: Ongoing sediment shoaling in Kahului Harbor is detrimental to navigation as it creates a hazard to vessels operating within the Harbor and necessitates recurring maintenance dredging. This study addressed two aspects of the shoaling in Kahului Harbor. First, the volume of shoaling sediment was estimated based on this and previous research efforts in Kahului Harbor, and the material was evaluated for potential beneficial use as beach placement material. Second, sedimentary geochemical fingerprinting including elemental composition, grain size, and sediment color was assessed and compared to potential terrestrial sources to identify the source of the shoaling sediment for potential future mitigation studies. Results determined that the size and color of the shoaling sediment was not conducive for beach placement and thus would not have a beneficial use aspect unless a need could be identified for fine-grained dark-colored sand in an upland region. Additionally, results identified western Maui as the dominant source of shoaling sediment in Kahului Harbor, likely via high flow events in the Iao Stream. Further studies are suggested to both identify potential uses for the shoaled sediment, as well as to better quantify sediment transport pathways from West Maui into Kahului Harbor to identify potential mitigation strategies.

24 Apr 2026

A Comprehensive Review of the Primary Sources of Uncertainty in Stone Armor Stability

Abstract: Coastal rubble mound armor stability prediction uncertainty is relatively high in the field of civil engineering. The present study aims to provide an in-depth review of the principal sources of stone armor stability uncertainty derived from laboratory experiments. The study delineates the contribution of each source and sub-class to the total uncertainty based on the body of knowledge from the literature and data analysis. Uncertainty is first classified into two main components: aleatory (intrinsic), which is irreducible and arises from the inherent randomness of natural processes, and epistemic uncertainty, which relates to limited knowledge of physical processes, observations, and predictive methods, and can be reduced with appropriate precautions. Epistemic uncertainty is further subdivided into three main categories: data uncertainty (waves and damage), predictive model uncertainty, and experimental errors. The focus is on empirical stability equations and the underlying data and experiments. For each category and sub-class, a semi-quantitative estimation of the coefficient of variation is provided to convey a sense of the magnitude of the component contribution to the total epistemic uncertainty in stability predictions. Results indicate that data uncertainty, particularly related to damage assessment, is the dominant contributor, followed by predictive model uncertainty, while error-related uncertainty have a smaller impact. The findings highlight the importance of improving data quality and standardization to reduce epistemic uncertainty, thereby enhancing the reliability of empirical design models, and supporting more consistent probabilistic design of rubble mound structures.

24 Apr 2026

Conceptual Sediment Budget Creation Using CorpsCam Imagery: Holland Harbor, Michigan

Abstract: This Regional Sediment Management (RSM) technical note (TN) discusses the development of a conceptual sediment budget at Holland Harbor, Michigan, using CorpsCam imagery. Imagery from May 2020 through October 2021 was analyzed to calculate volume change along Ottawa Beach, just north of the entrance to Holland Harbor. Shoaling rates and longshore sediment transport rates were calculated to supplement the beach volume change rates, with a sediment budget developed as the final product. This is a companion piece to the ERDC/TN RSM-26-1, Conceptual Sediment Budget Creation Using CorpsCam Imagery: Lynnhaven Inlet, Virginia.

24 Apr 2026

Conceptual Sediment Budget Creation Using CorpsCam Imagery: Lynnhaven Inlet, Virginia

Abstract: This Regional Sediment Management technical note (RSM TN) discusses the development of a conceptual sediment budget at Lynnhaven Inlet, Virginia, using CorpsCam imagery. Analysis of imagery collected between September 2022 and July 2024 is used to calculate the volume change along the beaches adjacent to the inlet. The final budget incorporates shoaling change rates and estimated longshore-sediment transport rates. This is a companion piece to the ERDC/TN RSM-26-2 Conceptual Sediment Budget Creation Using CorpsCam Imagery: Holland, Michigan.