Oct 2026· Journal of Structural Engineering· 0 citations· 17 references
Abstract
Conventional contact-based inspection techniques face significant challenges in accurately modeling the complex 3D geometry of locally buckled steel members, which hinder reliable assessment of their residual load-carrying capacity. To overcome these limitations, this study proposes a method for analyzing the bearing capacity of locally buckled steel members using geometric reconstruction models, enabling precise evaluation of their load-carrying capacity. The research methodology encompasses three primary aspects: (1) model preprocessing; (2) load-bearing capacity analysis of specimens; and (3) experimental validation. Model preprocessing involves three key tasks: point cloud model reconstruction and optimization; evaluation of the effect of external factors on model accuracy; and parametric modeling with verification of geometric accuracy. The load-bearing capacity of damaged specimens was analyzed by predicting the residual capacity of the corresponding parametric models using finite element software. Finally, axial compression tests on equal-leg single-angle steel specimens were conducted to validate the accuracy of the finite element analysis results, thereby demonstrating the effectiveness of the proposed method. Key findings include: (1) the overlap ratio has the most significant influence on model accuracy; at an overlap level of 18, the comprehensive mean absolute error is below 0.005, and model-specimen similarity between the angle steel parametric model and the angle steel specimen reaches 0.99 (no significant difference at 95% confidence level); (2) among the extracted key feature data, the elastic stiffness, peak load, and peak displacement all exhibit relative errors less than 10%, while peak strain in deformation zones shows larger deviations; and (3) among the 44 statistically key characteristic data points, 41 exhibit relative errors less than 10%, confirming the method’s high reliability for practical engineering applications.
Drug use is an ancient practice, but its associated disorders represent a contemporary public health challenge. This study investigates the impact of proximal processes in childhood/adolescence and adulthood on substance use, focusing on the role of Therapeutic Communities (TCs). Using a qualitative methodology, 19 residents of TCs in the state of Rio de Janeiro were interviewed. Instruments included a screening test (ASSIST), a sociodemographic inventory, and semi-structured interviews. Content analysis of the interviews was supported by the Requalify.ai software, which proved to be an efficient tool for categorizing and visualizing qualitative data. Results indicate that factors such as dysfunctional family environments, violence, and early onset of consumption, often mediated by peer influence, are determining risk factors. On the other hand, peer social support within TCs emerges as a crucial protective factor, associated with positive changes reported by participants. The sample revealed an overrepresentation of Black and Brown individuals, highlighting the racial dimension in the history of drug use in Brazil. The study concludes that proximal relationships are decisive in both the etiology and recovery of substance use disorders, and that TCs, although controversial, can offer a supportive environment that favors change, especially through peer support and cohabitation.
Marceli de Souza Rosa-Pereira, L. Pessoa· Lumen et Virtus· 0 citations
This work presents an end-to-end, deployment-aware testing pipeline for IoT-based automotive applications that combines requirement-driven test and code generation with large language model (LLM) and vision-language model (VLM) assistance, and human-in-the-loop curation to reduce manual effort and improve consistency.
Denesa Zyberaj, Roman Vintonyak, Pascal Hirmer et al.· 0 citations
A reverse engineering technique is presented for extracting a behavioural model of a deployed chatbot through the automated exploration of its functionality via Large Language Models through the automated exploration of its functionality via Large Language Models.
Iván Sotillo del Horno, Alejandro del Pozzo, Esther Guerra et al.· SN Computer Science· 0 citations
This case highlights the technical challenges of identifying melioidosis in a non-endemic region and confirms the diagnosis of melioidosis was difficult due to the misreporting of this isolate with a MALDI-TOF high score as B. thailandensis.
J. Merlino, Georgia Koos, Olivia Aitkens et al.· Diagnostic microbiology and...· 0 citations
Работа посвящена контролю качества данных в многоканальной телеметрии робототехнического манипулятора. Цель исследования – разработать и экспериментально оценить метод, который выявляет и локализует искаженный канал без обучения нейронной сети и без физического стенда. Метод объединяет показатели полноты, временной корректности и стабильности каждого потока с кинематическими и динамическими невязками между энкодерами, токами приводов, инерциальным каналом и внешней оценкой положения рабочего органа. Пороговые значения вычисляются по чистому калибровочному интервалу с использованием медианы и медианного абсолютного отклонения; локализация выполняется по графу межканальных связей. Воспроизводимый программный эксперимент включает 864 сценария, шесть видов искажений, четыре канала, три уровня интенсивности и двенадцать повторов. Предлагаемый метод достиг среднего F1 0,862 при 95-процентном бутстреп-интервале [0,845; 0,879], тогда как фиксированные правила и адаптивный одноканальный контроль дали 0,622 и 0,791 соответственно. Средняя точность локализации составила 0,843, доля ложных срабатываний – 0,0059. Наибольший выигрыш получен для постоянных смещений; для выбросов и замирания одноканальные методы оказались конкурентоспособнее. Результат представляет собой интерпретируемый модуль контроля входной телеметрии, пригодный для встраивания перед хранением и аналитической обработкой данных.
The paper addresses data quality control in the multichannel telemetry of a robotic manipulator. The aim of the study is to develop and experimentally evaluate a method that detects and localises a corrupted channel without training a neural network and without a physical test bench. The method combines indicators of completeness, temporal correctness and stability of each stream with kinematic and dynamic residuals between the encoders, the drive currents, the inertial channel and the external estimate of the end-effector position. Threshold values are computed over a clean calibration interval using the median and the median absolute deviation; localisation is performed on a graph of inter-channel relations. The reproducible software experiment covers 864 scenarios, six types of distortion, four channels, three intensity levels and twelve repetitions. The proposed method reached a mean F1 of 0,862 with a 95% bootstrap interval [0,845; 0,879], whereas fixed rules and adaptive single-channel control yielded 0,622 and 0,791 respectively. The mean localisation accuracy was 0,843 and the false positive rate was 0,0059. The largest gain was obtained for constant offsets; for outliers and freezing, single-channel methods proved more competitive. The result is an interpretable module for input telemetry control suitable for embedding before data storage and analytical processing.
Александр Юрьевич Волков· Stroitelʹnye i dorožnye maši...· 0 citations
Telecommunications base-station towers support services that are indispensable to crisis communication, emergency response, public administration and economic continuity. Their dispersed location, height and lattice geometry make conventional close-access inspection hazardous, time-consuming and difficult to document consistently. This study evaluates the usefulness and limitations of uncrewed aircraft systems for inspecting steel lattice towers that form part of telecommunications critical infrastructure. A retrospective field study was conducted using records from inspections performed in 2022–2023 at 50 towers in three Polish provinces. More than 150 sorties were completed with a DJI Matrice 30T platform using optical zoom, thermal imaging, a laser rangefinder and georeferenced mission telemetry. Manual, column and spiral flight patterns were compared, while image sets were processed with photogrammetric software to support three-dimensional reconstruction and spatial localisation of defects. The observations show that uncrewed inspection is particularly effective for documenting coating damage, local corrosion, fastener deterioration, connection anomalies, snow or ice accretion and equipment requiring thermographic follow-up. Column flights generated the most detailed evidence but also the greatest processing burden; spiral flights were faster and better suited to screening and three-dimensional modelling. The study also identified important constraints: wind, battery endurance, vegetation, airspace restrictions, electromagnetic and navigation disturbances, and the need to protect sensitive infrastructure data. Uncrewed aircraft should therefore be treated as a risk-based screening and documentation tool integrated with engineering judgement and targeted close-contact or non-destructive testing, rather than as an unconditional replacement for statutory structural inspection.
Rafał Parczewski, Tomasz Balcerzak, S. Żurawski· Zeszyty Naukowe SGSP· 0 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
