Industrial Code Research Articles

Void drift in narrow rectangular channels for highly advective bubbly flows: A macroscopic drift-flux model derived from two-fluid local simulations

This article addresses the issue of reduced models to describe turbulent two-phase flows in industrial applications. This work is an application based on Bois (2021) theoretical derivations to connect the spatially-averaged drift-flux model (DFM) to the local Reynolds-averaged two-fluid model (TFM). It presents new opportunities to calibrate closure laws or propose new models based on finer-scale descriptions. Highly convective steady bubbly flows with wall-peaking void fraction profiles are considered. Dispersed bubbles are weakly deformable. A new model dedicated to void fraction dispersion in flat rectangular channels is developed for application into the DFM. The model is calibrated based on reference local Euler-Euler two-fluid simulations of pressurised water and steam mono-dispersed bubbles, in adiabatic conditions. 64 conditions are considered to cover regularly the 3D parameter space in void fraction, Reynolds and Eötvös numbers. The new formulation proposed shows a very good fit with the post-processed predictions of local CFD simulations along with a substantial reduction in grid requirement. The model contains sub-filter correlations between vapour concentration and mixture or relative velocities. This model derived from local simulations is validated a posteriori in an industrial component scale code where the full space-filtered DFM is implemented and resolved. This work proves the benefits and feasibility of one-by-one model development and calibration based on two-fluid simulations.

Drug company methodologies used for reporting in the UK pharmaceutical industry payment transparency database between 2015 and 2019: A content analysis

Pharmaceutical companies spend hundreds of millions of pounds on marketing/R&D-related payments annually to healthcare organisations and healthcare professionals. UK pharmaceutical industry self-regulatory bodies require member companies who sign up to their code of conduct to publish details of their payments. They are also required to publish the methodologies underlying these payments, namely methodological notes. This study aimed to analyse UK pharmaceutical companies’ methodological notes and their adherence to the Association of the British Pharmaceutical Industry code of conduct and other relevant guidance. We conducted a content analysis of methodological notes for the years 2015, 2017 and 2019 and assessed companies’ adherence to self-regulatory bodies’ requirements and recommendations for methodology disclosure. Overall, 90 companies made payment disclosures in all three years, publishing 269 methodological notes. We found gaps in adherence to self-regulatory requirements. Only 3 (3.3 %) companies provided clear information for all self-regulatory body recommendations and regulations in all of their notes. Companies also varied in their approaches to important areas. For example, of the 244 notes with clear information on VAT management, 36.1 % (N = 88) included VAT, 30.3 % (N = 74) excluded VAT, and 33.6 % (N = 82) had multiple rules for VAT. There was evidence of widespread non-adherence to self-regulatory requirements. This suggests flaws with self-regulation and a need for greater enforcement of rules or consideration of a publicly mandated disclosure system.

Emergency department visits for heat-related illness among workers: Occupational health surveillance using Washington syndromic surveillance data.

Information on worker occupation and industry is critical to understanding the occupational risks of heat-related illness (HRI), yet few syndromic surveillance systems capture these key data elements. This study evaluates the work data reported through Washington syndromic surveillance for its utility in characterizing HRI ED visits by industry and occupation. Standard industry and occupation codes were assigned to employer name and occupation descriptions reported in Washington ED visit records maintained within the state's syndromic surveillance system, for visits involving HRI in 2020-2022. HRI ED visits involving workplace heat exposure were identified based on discharge diagnoses or on keywords in the triage note or chief complaint fields. HRI ED visits were summarized by patient characteristics, and visit rates were calculated by industry and occupation. Employer name or occupation descriptions were reported in 21.5% of HRI ED records among patients age 16 and older, and in 41.2% of records with mention of heat exposure at work. Twice as many records were classified for industry as for occupation. Agriculture, forestry, fishing, and hunting and transportation and warehousing had the highest rates of HRI ED visits. Specific industries with the highest rates included support activities for agriculture and forestry, the postal service, and fruit and vegetable preserving and specialty food manufacturing. Syndromic surveillance data are a valuable source of occupational health surveillance information when work characteristics are reported, enhancing our understanding of the occupational risks of injuries and illnesses.

A Godunov-type scheme for the Saint-Venant-Exner equations with a moving steady states

The Saint-Venant-Exner system is widely used in industrial codes to model the transport of bed sediments. In practice, most of the methods used for its numerical resolution suffer from significant stability problems due to the fact that they are mainly guaranteed by separation techniques which allow weak coupling between hydraulic and morphodynamic software. The search for an adequate alternative method to this problem is a focus towards which several approaches converge. Recently, many authors have proposed acceptable methods but they are not so trivial to implement in an industrial context and some do not take into account all aspects such as mobile steady states. In this work, we derive a well-balanced scheme that takes into account all stable states, to approach weak solutions of the sediment transport model in shallow waters. We demonstrate that it captures exactly all regular steady solutions with non-evanescent velocities, retains water level positivity and is able to degenerate to a classical shallow water model when the sedimentary transport flow is null. A number of numerical test cases are also presented to illustrate these properties.

Unified momentum model for rotor aerodynamics across operating regimes

Despite substantial growth in wind energy technology in recent decades, aerodynamic modeling of wind turbines relies on momentum models derived in the late 19th and early 20th centuries, which are well-known to break down under flow regimes in which wind turbines often operate. This gap in theoretical modeling for rotors that are misaligned with the inflow and also for high-thrust rotors has resulted in the development of numerous empirical corrections which are widely applied in textbooks, research articles, and open-source and industry design codes. This work reports a Unified Momentum Model to efficiently predict power production, thrust force, and wake dynamics of rotors under arbitrary inflow angles and thrust coefficients without empirical corrections. The Unified Momentum Model is additionally coupled with a blade element model to enable blade element momentum modeling predictions of wind turbines in high thrust coefficient and yaw misaligned states without using corrections for these states. This Unified Momentum Model can form a new basis for wind turbine modeling, design, and control tools from first principles and may enable further development of innovations necessary for increased wind production and reliability to respond to 21st century climate change challenges.

SARS-CoV-2 antibody prevalence by industry, workplace characteristics, and workplace infection prevention and control measures, North Carolina, USA, 2021 to 2022.

The COVID-19 pandemic has disproportionately affected workers in certain industries and occupations, and the workplace can be a high-risk setting for SARS-CoV-2 transmission. In this study, we measured SARS-CoV-2 antibody prevalence and identified work-related risk factors in a population primarily working at industrial livestock operations. We used a multiplex salivary SARS-CoV-2 IgG assay to determine infection-induced antibody prevalence among 236 adult (≥18 yr) North Carolina residents between February 2021 and August 2022. We used the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System (NIOCCS) to classify employed participants' industry. Most participants (55%, 95% confidence interval [CI] 49% to 62%) were infection-induced IgG positive, including 71% (95% CI 60% to 83%) of animal slaughtering and processing industry workers, 1.5 to 4.3 times North Carolina general population infection-induced seroprevalence estimates during overlapping time periods. Considering self-reported diagnostic test positivity and vaccination history in addition to antibodies, the proportion of participants with evidence of prior infection increased slightly to 61% (95% CI 55% to 67%), including 75% (95% CI 64% to 87%) of animal slaughtering and processing workers. Participants with more than 1000 compared to 10 or fewer coworkers at their jobsite had higher odds of prior infection (adjusted odds ratio 4.5, 95% CI 1.0 to 21.0). This study contributes evidence of the severe and disproportionate impacts of COVID-19 on animal slaughtering and processing workers and workers in large congregate settings.

Stability of a continuous/discrete sensitivity model for the Navier–Stokes equations

AbstractThis work presents a comprehensive framework for the sensitivity analysis of the Navier–Stokes equations, with an emphasis on the stability estimate of the discretized first‐order sensitivity of the Navier–Stokes equations. The first‐order sensitivity of the Navier–Stokes equations is defined using the polynomial chaos method, and a finite element‐volume numerical scheme for the Navier–Stokes equations is suggested. This numerical method is integrated into the open‐source industrial code TrioCFD developed by the CEA. The finite element‐volume discretization is extended to the first‐order sensitivity Navier–Stokes equations, and the most significant and original point is the discretization of the nonlinear term. A stability estimate for continuous and discrete Navier–Stokes equations is established. Finally, numerical tests are presented to evaluate the polynomial chaos method and to compare it to the Monte Carlo and Taylor expansion methods.

Testing and Analysis of PIM Performance in a Passive DAS Network - Experimental Approach

Passive intermodulation (PIM) poses a significant challenge in telecommunication networks, with potentially severe impacts on network performance and signal integrity if not addressed during the initial deployment phase. This study investigates PIM levels within a passive distributed antenna system (DAS) network for cellular mobile radio communication across multiple floors of a building. The network comprises coaxial cables, connectors, splitters, combiners, and antennas structured in a systematic plan. This work used the experimental method to test for PIM in the network used for this investigation. Designed as a multicarrier system, it handles RF signals across frequencies of 700/850MHz, 1900MHz, 2100MHz, and 2600MHz. On-site PIM testing was conducted during the network deployment phase to analyze the behavior of high-power RF signals. Utilizing Kaelus iQA-1921C and iQA 850C series PIM analyzers, tests were conducted following known industry codes and standards. High RF power was preset to 43dBm for full band, 35dBm for high bands, and 25dBm for low band. The test equipment was calibrated on high PIM load and low PIM load. Test points were selected at both vertical and horizontal subsystem cabling structures, focusing on riser cables. The standard baseline performance PIM levels was set to -150dBc. The analysis focused on examining the characteristics of PIM signals captured via time-domain PIM traces, investigating the impact of altering the frequency of the two-tone signal on the IM3 frequency component, and highlighting the importance of selecting an appropriate frequency for the two-tone signal that is not positioned near the edges. Results were based on pass or fail test, and resolution measures were taken to mitigate interference.

Intervention Options for Enhancing Smallholder Compliance with Regulatory and Market Standards for High-Value Fruits and Vegetables in Rwanda and Zambia

Agriculture is vital for economic growth in sub-Saharan Africa. In Rwanda and Zambia, the sector drives economic output, particularly the horticulture sector, which has emerged as a significant contributor to export revenue and employment for resource-poor rural communities. As agri-food value chains become globally connected, there are increasing concerns about food safety and both the social and environmental sustainability benefits of production, which has underscored the need for producers to comply with certain regulatory standards. This paper uses a value chain analysis approach to assess the factors influencing compliance among smallholder fresh fruit and vegetable (FFV) producers in Zambia and Rwanda, and identify practices essential for achieving widespread compliance, to enhance the competitiveness of the sector. The data were gathered from 340 FFV farmers and key informants using structured questionnaires. The results reveal that the value chains for target FFVs are still traditional, predominantly targeting local markets. These markets pose low barriers to entry for smallholders, and often with few safety and quality requirements. As such, there remains a paucity of understanding of market needs and regarding quality and safety standards amongst smallholders, which, coupled with low-input, low-technology farming methods, and inadequate pre- and post-harvest handling, limit the market potential. To bridge these gaps, this study recommends organising farmers into legally recognised entities, to enable access to compliance information, reduce transaction costs, and provide access to high-quality niche markets through public–private partnerships. Countries also need to develop industry codes of practice and quality management systems and support farmers to adhere to them.

Demographic Differences and Potential Bias From Automated Occupation Coding Among Mothers of Babies Born With or Without Cleft Lip and/or Cleft Palate in the Texas Birth Defects Registry.

To compare maternal demographics based on occupation coding status and evaluate potential bias by excluding manually coded occupations. This case-control study assessed cases with clefts obtained from the Texas Birth Defects Registry. The NIOSH Industry and Occupation Computerized Coding System automatically coded occupations, with manual coding for unclassified cases. Maternal demographics were tabulated by occupation coding status (manual vs. automatic). Logistic regression examined associations between major occupation groups and clefts. Automatic coding covered over 90% of all mothers. Building, grounds cleaning, and maintenance occupations, and office and administrative support occupations were significantly associated with cleft lip with or without cleft palate, even after excluding manually coded occupations. We found consistent associations before and after excluding manually coded data for most comparisons, suggesting that machine learning can facilitate occupation-related birth defects research.

Suicides among construction workers in the United States, 2021.

Construction workers have the second highest suicide death rate; despite this, there is limited literature examining suicides in the industry, which is necessary to identify those at higher risk of death by suicide. The objective of this study was to examine the characteristics of those who died by suicide in construction to address this knowledge gap. Data from the National Center for Health Statistics National Vital Statistics System 2021 public use Mortality Multiple Cause-of-Death file were used to identify deaths by suicide, while denominator data for rates come from the 2021 Current Population Survey. In 2021, construction workers were disproportionately affected by suicide deaths. Almost a fifth (17.9%) of deaths by suicide with a reported industry code were in construction, despite construction workers accounting for only 7.4% of the workforce. Male construction workers accounted for a majority (97.8%) of suicide deaths. The highest percent of deaths by suicide were among individuals who were white, non-Hispanic, completed high school or equivalent, and single, across construction and all industries for males and females. Male and female construction workers had the highest rates of suicide across all characteristics when compared to all industries. Our findings support the need for ongoing prevention efforts within the industry. Future research is needed to understand suicide risk among certain characteristics and occupations. In addition, the work environment or other work-related factors should be studied to understand how the unique nature of the construction industry may be associated with higher suicide rates.

Structuring ethics education in undergraduate business programs: a proposal

This paper examines the role that business schools can play in reducing the occurrence of unethical business practices. Recent experience has highlighted the persistence of unethical conduct, especially in the finance industry, and the limitations of legislation in curtailing this type of conduct. In response, alternative approaches, including self-regulation through industry codes of conduct and firm-based ethics training programs, have increased in importance. But these approaches have also been ineffective. Recognising this, the potential for ethics education at the university level is highlighted. This would reflect an Aristotelian perspective based on virtue ethics where participants in the financial system would possess ‘virtues’ or ‘character traits’ that would cause them to refrain from unethical behaviour because of the education they had received in their business degrees. This raises questions about how to ensure that universities realise this potential on the one hand, and the best way to realise it on the other. The paper argues for a mandatory ethics subject in the core of all business degrees as a condition of accreditation by bodies such as AACSB and EQUIS.

Nearest‐neighbor, BERT‐based, scalable clone detection: A practical approach for large‐scale industrial code bases

AbstractHidden code clones negatively impact software maintenance, but manually detecting them in large codebases is impractical. Additionally, automated approaches find detection of syntactically‐divergent clones very challenging. While recent deep neural networks (for example BERT‐based artificial neural networks) seem more effective in detecting such clones, their pairwise comparison of every code pair in the target system(s) is inefficient and scales poorly on large codebases. We present SSCD, a BERT‐based clone detection approach that targets high recall of Type 3 and Type 4 clones at a very large scale (in line with our industrial partner's requirements). It computes a representative embedding for each code fragment and finds similar fragments using a nearest neighbor search. Thus, SSCD avoids the pairwise‐comparison bottleneck of other neural network approaches, while also using a parallel, GPU‐accelerated search to tackle scalability. This article describes the approach, proposing and evaluating several refinements to improve Type 3/4 clone detection at scale. It provides a substantial empirical evaluation of the technique, including a speed/efficacy comparison of the approach against SourcererCC and Oreo, the only other neural‐network approach currently capable of scaling to hundreds of millions of LOC. It also includes a large in‐situ evaluation on our industrial collaborator's code base that assesses the original technique, the impact of the proposed refinements and illustrates the impact of incremental, active learning on its efficacy. We find that SSCD is significantly faster and more accurate than SourcererCC and Oreo. SAGA, a GPU‐accelerated traditional clone detection approach, is a little better than SSCD for T1/T2 clones, but substantially worse for T3/T4 clones. Thus, SSCD is both scalable to industrial code sizes, and comparatively more accurate than existing approaches for difficult T3/T4 clone searching. In‐situ evaluation on company datasets shows that SSCD outperforms the baseline approach (CCFinderX) for T3/T4 clones. Whitespace removal and active learning further improve SSCD effectiveness.

Reducing the environmental footprint of glass manufacturing

AbstractThe glass industry is a significant source of greenhouse gas emissions due to its energy consumption profile and the use of fossil fuels in the manufacturing process. Most of the energy to produce glass is consumed in the process of treating raw materials to elevated temperatures, usually above 1500°C. Glass manufacturing also generates significant environmental impacts, such as greenhouse gas emissions, air pollution, water consumption, and waste generation. Therefore, improving the sustainability of glass manufacturing is a significant challenge for the industry and society. There are ways to reduce the energy consumption and emissions of glass melting, such as recycling glass, using oxy‐fuel burners, improving furnace insulation and design, and adopting electric melting technologies. These methods can help save energy, lower costs, and enhance the sustainability and environmental footprint of the glass industry. However, the industry faces challenges and barriers, such as technical feasibility, economic viability, capital investment, and market acceptance. More research and development must be invested to improve the energy efficiency and environmental performance of glass melting. The objective of this paper is to provide an overview of the growth glass industry has made over the past 30 years and the remaining challenges for sustainable glass manufacturing with a focus on the fiberglass segment. Sharing of procedural methods, technical approaches, and results can help enable the global glass industry in our future sustainability challenges. The fiberglass segment included a broad technical view including glass chemistry development, product development, new industry codes and standards, melting development, computational fluid dynamic modeling, life cycle assessments, and sustainability goals linked to capital planning. The net result delivered a significant reduction in environmental emissions at the global enterprise scale. The implemented changes have taken decades, significant investments, and resources to plan and develop. Practices reviewed and implemented can help drive collaboration and commonality within the glass industry to achieve sustainability goals. Action is needed now if the glass industry is to meet global government demands of reducing carbon emissions by 55% by 2030 and zero carbon emissions by 2050 in alignment with the Paris Agreement on decarbonization.

Requalification of pipelines for CO2 transport – giving new life to the Bayu-Undan and Reindeer pipelines

Australia has in the order of 3500 km of offshore pipelines currently operating in Commonwealth waters which will require either re-use or decommissioning at the end of hydrocarbon service. Santos are currently developing the Bayu-Undan and Reindeer CCS (carbon, capture and storage) Projects, to make use of the depleted hydrocarbon reservoirs to store carbon dioxide (CO2) via existing offshore infrastructure. A key aspect of these projects is the requalification of existing offshore hydrocarbon pipelines to transport CO2, both of which have been in operation for 10–20 years. The Bayu-Undan and Reindeer pipelines were designed and operated for (a) distinctly different hydrocarbon services and (b) with no initial consideration for future CO2 service. This presents two unique technical starting points in the delivery of safe and robust conversion to CO2 service. Using knowledge gained from this, the paper provides an outline of the key technical considerations to requalification of pipelines unique to the combination of life extension and CO2 service. These are framed in the context of existing industry codes and technical challenges with CO2 pipelines. The outcomes are structured against typical phases in the project lifecycle and opportunities for optimisation of future CO2 re-purposing projects are proposed.

The Evolution of Weld Inspection: Unlocking the Potential of Phased Array Ultrasonic Testing

In the field of nondestructive testing (NDT), phased array ultrasonic testing (PAUT) stands out as a significant advancement, reshaping the way we inspect welds. In this article, we’ll explore the historical progression of weld inspection, from conventional ultrasonic testing (UT) to the rise of PAUT, and the technical aspects and advancements that have positioned PAUT as a game changer, particularly in industry standards set by organizations like the American Welding Society (AWS) and American Society of Mechanical Engineers (ASME). Our journey will include an examination of the core components of PAUT, such as the pulser/receiver, probe technology, and data analysis software. We’ll also delve into the practical applications of beamforming, sectorial and linear scanning, and various scan views used in weld inspection. As we discuss the advantages of PAUT over conventional UT and its integration into industry codes, you’ll gain insight into how this technology has become an essential tool for ensuring the integrity of welds in a range of applications.

Assessment of Indoor Air Quality Performance in a Building at Kemaman, Terengganu

Violations of IAQ regulations can lead to sick building syndrome (SBS), which manifests as symptoms like respiratory difficulties, eye irritation, skin issues, and headaches. Monitoring IAQ is crucial for ensuring the well-being of occupants and preventing health issues and reduced productivity. Compliance with IAQ regulations is necessary to avoid legal concerns and penalties. The study aims to evaluates IAQ in accordance with the Department of Occupational Safety and Health (DOSH) Malaysia's Industry Code of Practice on Indoor Air Quality (ICOP 2010), which provides guidelines and acceptable limits for physical and chemical contaminants on the impact on occupants' health and comfort in Bangunan Persekutuan Kemaman, a government office building in Terengganu, Malaysia. Objective and subjective measurements were collected to assess physical parameters, chemical contaminants, and ventilation performance indicators. The data revealed that the airflow, relative humidity, and light intensity in the building did not meet the ICOP 2010 standards, indicating the need for repair and maintenance of the mechanical ventilation and air-conditioning (MVAC) system. The subjective survey completed by occupants indicated symptoms such as drowsiness, fatigue, and headaches, which are associated with poor IAQ. The study concludes that improvements are necessary to ensure compliance with IAQ regulations and recommends further research on the relationship between air temperature, relative humidity, and older building designs.

Indoor air quality and sick building syndrome symptoms in administrative office at public university

Sick Building Syndrome (SBS) is an illness among workers linked to time spent in a building. This study aimed to investigate the Indoor Air Quality (IAQ) and symptoms of Sick Building Syndrome (SBS) among administrative office workers. The IAQ parameters consist of ventilation performance indicators, and physical and chemical parameters were measured using specified instruments for three days during weekdays. The SBS symptoms were assessed by a questionnaire adopted from the Industry Code of Practice of Indoor Air Quality (ICOP-IAQ) 2010 among 19 employees from the office in East Coast Malaysia. Relationship between past symptoms and present symptoms which are draught (past symptoms) with feeling heavy headed (present symptoms) (r = 0.559, p < 0.05), room temperature too high (past symptoms) was highly correlated with feeling heavy headed (present symptoms) (r = 0.598, p < 0.01) and cough (present symptoms) (r = 0.596, p < 0.01). Room temperature (past symptoms) has a positive medium relationship with cough (present symptoms) (r = 0.477, p < 0.05) and scaling itching scalp or ears (present symptoms) has a relationship between stuffy bad air (r = 0.475, p < 0.05) and dry air (r = 0.536, p < 0.05). There was a significant association between RH with drowsiness (χ2 = 7.090, p = 0.049) and dizziness (χ2 = 7.090, p = 0.049). The association was found between temperature and SBS symptoms between temperature with headache (χ2 = 7.574, p = 0.051), feeling heavy-headed (χ2 = 8.090, p = 0.046), and skin rash itchiness (χ2 = 7.451, p = 0.044). Air movement also showed a positive association with symptoms of feeling heavy-headed (x2 = 8.726, p = 0.021). PM10 has positive significance with SBSS which are feeling heavy-headed (χ2 = 7.980, p = 0.023), and eyer's irritation (χ2 = 7.419, p = 0.038). The conclusion of this study showed that there were positive significant between temperature and relative humidity toward SBSS.

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Abstract P296: The Association Between Maternal Occupation and Adverse Birth Outcomes Among Infants With Congenital Heart Defects

Background: Neonates with critical congenital heart defects (cCHDs) face increased risks of neonatal complications, including low birth weight (LBW) and preterm birth (PTB). Maternal occupation has known associations with adverse birth outcomes in the general population. We aimed to assess the link between maternal occupation and adverse birth outcomes in neonates with cCHDs. Methods: We examined Texas Birth Defects Registry (TBDR) data from 1999-2014, focusing on employed mothers of non-syndromic live born singletons with cCHD. Using the NIOSH Industry and Occupation Computerized Coding System (NIOCCS) and manual coding, we categorized maternal occupation into 23 major groups. Neonates with cCHDs and adverse birth outcomes were compared to neonates with cCHDs without adverse outcomes. Logistic regression models assessed the association between maternal occupation and PTB and LBW, with the reference group being all other occupations. Results: There were 712 mothers with preterm neonates with cCHDs and 3,076 mothers with full-term neonates with cCHDs. Additionally, 776 mothers delivered LBW neonates, while 3,012 had normal birthweight neonates. Maternal occupations in computer/math science were negatively linked to PTB (OR: 0.29; 95% CI: 0.10-0.79) and LBW (OR: 0.26; 95% CI: 0.09-0.70). Food preparation occupations were positively associated with PTB (OR: 1.67; 95% CI: 1.17-2.38), while arts/entertainment occupations were negatively associated with LBW (OR: 0.30; 95% CI: 0.11-0.84). Conclusion: These findings align with previous reports, suggesting that mothers in certain occupations may engage in behaviors linked to adverse pregnancy outcomes in the general population, such as insufficient folic acid supplementation, delayed prenatal care, smoking, and drinking. Understanding these associations can inform targeted workplace interventions, particularly for pregnancies involving birth defects.