Reinforced concrete is a material with high reliability and long life. In order to make accurate life prediction based on the geological environment of western saline soil, a composite solution composed of sodium chlo...
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process mining uses data from event logs to understand which activities were undertaken, their timing, and the involved entities, providing a data trail for processanalysis and improvement. However, a significant cha...
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Digital platform has become one of the key factors for enterprises to succeed in today's competitive business environment. However, in order to maintain competitiveness and continuously meet the needs of users, th...
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As fossil fuels decline on a global scale, there is a rising interest in developing a cost-effective process for producing biodiesel from renewable sources, like Jatropha curcas plant. Enzymatic transesterification of...
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Dynamic graph representation learning aims to capture the evolution of graph structures and obtain accurate node embeddings, a crucial task in graph machine learning. The Hawkes point process, a mathematical framework...
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Numerous wind farms are planned and built in the coastal or forest-to-grassland transition areas with abrupt rough-to-smooth surface roughness change. Behind the abrupt change, the atmospheric boundary layer (ABL) und...
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Numerous wind farms are planned and built in the coastal or forest-to-grassland transition areas with abrupt rough-to-smooth surface roughness change. Behind the abrupt change, the atmospheric boundary layer (ABL) undergoes a complex transition process which brings big challenges to the canonical wake models of wind turbines. To this end, we employ large eddy simulation (LES) to investigate the development of the ABL and the evolution of wind-turbine wakes at different positions under roughness abruption from rough to smooth, and propose a novel analytical wake model. Due to the abrupt change of surface roughness, pressure gradient forms around the abruption and the internal boundary layer (IBL) develops downstream. The wind turbine near the abruption point is influenced by the pressure gradient, resulting in smaller wake width, while those situated within the IBL are significantly affected by the flow transition, resulting in systematic differences in wake recovery. To explicitly account for the flow transition in the wake model, we introduce an equivalent additional thrust to represent the momentum contribution caused by both background velocity and Reynolds stress. A detailed budget analysis is then conducted around the wind turbine and shows that the equivalent additional thrust is highly correlated with the streamwise turbulence intensity. Finally, a new wake model under roughness abruption is developed and compared with the LES data. Results show that the proposed model demonstrates superior performance over the existing models.
Pipeline dents are a major threat to the integrity and safety of aging oil and gas transmission systems. While API 1183 provides methodologies for dent assessment, it has several limitations. Traditional strain assess...
ISBN:
(纸本)9798331312879
Pipeline dents are a major threat to the integrity and safety of aging oil and gas transmission systems. While API 1183 provides methodologies for dent assessment, it has several limitations. Traditional strain assessment methods rely heavily on 2D cross-sections, assuming maximum strain or minimum radius of curvature occurs at the dent's apex, and do not distinguish between restrained and un-restrained dents. Furthermore, fatigue evaluation based on regression models often leads to overly conservative and inconsistent outcomes. This paper presents a novel framework to address these limitations and enhance pipeline safety. The process begins with ILI data collection, followed by an automated Quality Assurance/Quality control (QA/QC) process utilizing machine learning to resolve data inconsistencies. The framework employs filtering and smoothing techniques to refine the ILI data. Determining the restraint condition is a key step, guiding the appropriate assessment workflow. Un-restrained dent shapes are scaled appropriately to simulate indentation depth which is always greater than ILI reported depth. Strain analysis follows both API 1183 guidelines and recent recommendations published in the PRCI report "Improve Dent/Cracking Assessment Methods, PR-214-203806". Fatigue life is estimated by transforming ILI caliper data into a 3D finite element analysis (FEA) mesh, enabling a rigorous assessment of dent severity. A critical advancement in this framework is the use of non-linear material properties in the screening level FEA, calibrated to account for residual stresses, to improve stress estimation for restrained dents. By incorporating estimated approximate residual stresses from strain data, the resulting stress values align closely with Level 3 non-linear FEA results, enhancing both accuracy and efficiency in fatigue assessments. Other advancements include the 3D evaluation of dent curvature to identify potential high-strain regions beyond the dent's deepest point,
The proceedings contain 235 papers. The topics discussed include: from many to one: a case study of cooperative enterprise systems in B2B digital platform creation;navigating the digital future: impact and opportuniti...
The proceedings contain 235 papers. The topics discussed include: from many to one: a case study of cooperative enterprise systems in B2B digital platform creation;navigating the digital future: impact and opportunities of digital transformation and the metaverse;exploratory customer discovery on Veblen goods using ChatGPT and agent-based modeling system for business simulation;navigating blockchain assimilation in private institutions: a multi-level perspective analysis;artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation;the design of self-paced learning for structured learning environments;implementation of information systems for the long-term reuse of data in humanities research;and structural and cultural barriers to digital transformation in Swedish public organizations.
Investigation of latency phase and it’s impact in leprosy remains a long-term debate for clinical and experimental scientists. In our research work, we have explicitly introduced the class of latently infected Schwan...
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In the absence of any observation system or low veracity of the data, it is possible to provide control over a limited time interval basing on a high-precision control object model used. The paper proposes to use a mu...
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