Articles tagged with Civil Engineering
A new Danish research project, CP-SENS, aims to develop a digital twin platform for the mechanical and construction industries. The project will provide companies with access to intelligent IT systems tailored to their needs, enabling them to adopt digital twins without significant financial investment.
A WVU researcher is developing a data-driven approach to enhance roadway maintenance operations, incorporating AI analysis of real-time data from sensors on consumer cars and roadside observation stations. The goal is to minimize time and resources spent on less affected roadways, reducing winter maintenance costs and time.
Researchers at SMU measured Dallas's resilience using anonymous cell phone data before, during, and after the February 2021 North American winter storm. The study found that Dallas recovered almost immediately after the winter storm ended, indicating a great degree of resilience among its residents.
Researchers found that trusted change agents can alter consumer behavior to maintain adequate supply levels. The top three themes of disaster-related buying behaviors are precaution, anticipation, and social cues.
Researchers highlight the need for a coherent international framework for decommissioning offshore structures due to limited evidence on their environmental impact. The study emphasizes the critical need for consensus on future approaches as an estimated 1,800 offshore wind turbines will require decommissioning by 2030.
The new model maximizes coverage area and minimizes response time, accounting for hot spots. It outperformed existing techniques in computational testing, improving response times regardless of traffic size.
The WVU SMARTER center aims to improve mobility in rural areas through self-driving cars, ride-sharing services, and bike sharing. The center will develop infrastructure and technology barriers to ensure accessibility for all people.
Researchers have developed a novel photoelectrochemical ultraviolet photodetector that can detect two types of ultraviolet light using a multilayered nanostructure. The detector's performance can be regulated through light intensity and external bias, enabling easy adaptation to environmental changes.
Rice University scientists developed a rapid process to remove heavy metals from coal fly ash using flash Joule heating. This purified coal fly ash can be used in infrastructure projects, reducing emissions by 30% and improving concrete strength and elasticity.
Researchers have found a way to significantly reduce the carbon footprint of concrete production by introducing a simple additive, sodium bicarbonate. This new process can sequester up to 15% of the total carbon dioxide associated with cement production, making concrete a more environmentally friendly material.
Designing low-carbon multi-storey buildings requires focusing on efficient shapes, structural frames, limited window sizes, and ventilation with heat recovery. The study found that these elements can save up to six gigatonnes of carbon by 2050 and reduce annual heating and cooling costs by 28-44%.
A team of MIT researchers has created an 'unclonable' label system to combat counterfeit seeds in Africa, where fake seeds can cost farmers up to two-thirds of expected crop yields. The system uses biodegradable silk-based tags with unique codes that cannot be replicated.
A new course at Norwegian University of Science and Technology teaches risk management and resilience in maritime digital security. Despite the importance of training, many deck officers reported uncertainty about handling cyber incidents on board.
Researchers at Queensland University of Technology (QUT) have built and tested a full-scale bushfire safe room that demonstrates excellent heat resistance. The results suggest the shelter could keep people alive for up to two hours in extreme conditions, but further testing is needed to confirm human survivability.
The novel portable wireless sensing system measures strain and acceleration in real-time, generating a safety assessment report to prevent damage and ensure safe delivery. While effective, the system lacks real-time data management capabilities, requiring future development of a cloud-based monitoring system.
A new study by Rice University and Houston Health Department shows that wastewater-based monitoring is an effective way to detect viral outbreaks in schools. The system allows for early detection of illnesses such as influenza, COVID-19, and RSV, enabling strategies to stop the onset of potential outbreaks.
Researchers at Texas A&M University have created a new method to monitor flocculation and mixing in real-time, allowing for more precise control over the process. This technique reduces energy consumption by halving the workload and improving precision.
A recent study, led by Purdue University researchers, identified key decisions and resource limitations during the Marshall Fire in Colorado. The findings highlight ways to minimize drinking water safety risks and expedite recovery for wildfire-vulnerable communities.
Researchers developed machine learning models to accurately calculate fine particulate matter in urban air pollution using AI and traffic data. The models provide a high-resolution estimation of city street pollution surface, enabling transportation and epidemiology studies to assess health impacts.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
Researchers uncover ancient manufacturing strategy that incorporates self-healing functionalities into Roman concrete. Hot mixing process allows for faster construction and enhanced durability through spontaneous cracking and recrystallization.
A research team developed a method to efficiently identify potentially dangerous intersections for child traffic accidents using a combination of empirical Bayesian estimation and geo-informatized data. The model proved effective in identifying seven or more high-risk spots, improving upon methods based solely on past accident data.
Composite wastewater samples taken over 24 hours reveal a more accurate representation of antibiotic-resistant genes, with levels 10 times higher than 'snapshots'. Chlorination can negatively impact water quality, highlighting the need for improved treatment protocols.
Lei Fang's NSF-funded project models interactions between active matter and transport barriers to improve understanding of ocean currents and drone technologies. The study uses a laboratory flow system with tiny zooplankton, brine shrimp, to examine the effect of their movement on transport barriers.
Researchers propose new structures to capture and condense water vapor from above oceans, providing fresh water for large population centers in subtropical regions. The study assesses the feasibility of this method under climate change conditions.
Researchers from the University of Tsukuba developed a reliable means to quantify reinforced concrete structure deterioration using crack width measurements. Increasing crack width leads to decreased bond strength in infrastructure.
A study by Hiroshima University researchers detected illegal international mercury trade using discrepancies in mirrored trade data from the United Nations Comtrade. The method, which analyzed export and import statistics, can help assess the effectiveness of the Minamata Convention on Mercury.
A new study by MIT researchers finds that maintaining an indoor relative humidity between 40 and 60 percent is associated with relatively lower rates of COVID-19 infections and deaths. Indoor conditions outside this range are linked to worse COVID-19 outcomes.
New research by University of Pittsburgh scientists finds that concrete pavements are sensitive to sharp air temperature variations during the day, even in mild climates. This can lead to devastating consequences for infrastructure, such as potholes and cracks, with thicker pavements being more vulnerable.
The study developed an extended deep Q-network (EDQN)-incorporated context-based meta-RL model that can autonomously detect traffic states, classify regimes, and assign signal phases. The model outperformed existing algorithms in simulation experiments and showed adaptability to new tasks without adjusting parameters.
Experts warn that poorly functioning IT systems are a clear and present threat to patient safety, resulting from inadequate investment and lack of prioritization. The British Medical Association estimates that 27% of clinicians lose over four hours a week due to inefficient IT systems, highlighting the need for urgent improvement.
A survey by Osaka Metropolitan University found that disaster emergency wells complemented the Kumamoto city government's emergency water supply, speeding up water delivery and improving access. However, some welfare facilities did not use emergency wells despite being nearby, highlighting the importance of publicizing their locations.
A new study by MIT researchers shows that mobile phones can collect useful structural integrity data while crossing bridges. The study found that information about bridge vibrations can be extracted from smartphone-collected accelerometer data, and that this method could add years to a road bridge's lifespan. By leveraging crowdsourced...
Researchers at Rice University have engineered bacteria to quickly sense and report on the presence of various contaminants. The living bioelectronic sensors can be programmed to identify chemical invaders and report within minutes by releasing a detectable electrical current.
Researchers developed high-capacity free-space optical links using unipolar quantum optoelectronic devices, achieving unprecedented data rates of up to 30 Gbit/s at 31-meter distances. The system's performance is resistant to weather conditions and showcases potential for fast, long-range optical links.
A team of CSU researchers has designed a model that can predict which buildings will survive a wildfire, allowing for more effective fire mitigation strategies. By analyzing community networks and incorporating graph theory, the model achieves accuracy rates of up to 86% in predicting building survival.
New research reveals a relationship between virus concentration and organic carbon in wastewater treatment plant effluents. The study found that viruses can affect the concentration of organic carbon, leading to potential negative impacts on aquatic ecosystems nearby.
Researchers found that controlling human mobility in specific areas according to infection levels can effectively reduce COVID-19 transmission. The studies suggested that walkable cities and mask use may play a role in reducing new infections.
A recent study published in Engineering Construction & Architectural Management identified the main obstacles preventing digital transformation in the engineering and construction industry. The three main problems are a lack of laws and regulations, a lack of support and leadership, and a lack of resources and professionals.
A new analysis by University of Kansas researchers shows that tectonic drivers, such as river steepness and seismic activity, dominate the strength of connectivity in hillslopes across the continental United States. High connectivity zones are associated with increased landslides, while low connectivity zones promote wetland development.
A study has mapped streamflow alterations across the continental US, using measurements from over 7,000 stream gauges. The dataset provides valuable data for determining societal impacts on ecosystems and setting environmental flow standards.
Researchers at POSTECH developed a chiral structure to block all vibration modes in a specific frequency band, effectively reducing any vibration. This innovation has significant implications for various fields like mechanical structures, buildings, and civil engineering.
A new study examines the impact of sea level rise on building foundations and proposes a method for inspection and repair to lower costs. The researchers estimate that the annual repair cost for foundations in Mobile, Alabama, could total $90 million by 2100.
The new Engineering Research Center for Smart Streetscapes (CS3) will advance the future of smart streetscapes with cutting-edge technologies. The center aims to improve quality of life, enhance social equity, and stimulate economic development through innovative smart city solutions.
Researchers at the University of Illinois used single calcite crystals with varying surface roughness to simplify the physics of fault movement. The study found that friction can increase or decrease with sliding velocity depending on mineral types and environment, providing a fundamental understanding of rate-and-state equations.
A new online tool from NIST offers a solution to regularly check ventilation by measuring indoor carbon dioxide levels. The Quick Indoor CO2 (QICO2) calculator takes into account factors like occupants, outdoor CO2 levels, and building size to provide accurate results.
Scientists developed a novel multilayer coating to improve the longevity of steel, increasing its lifespan by up to 400 hours. The coating, comprising three layers, was found to provide higher resistance to rust than conventional Zn coatings.
The 13th Five-Year Plan set goals for green building technologies to improve planning and design, energy efficiency, indoor air quality, high-performance structures and materials, and green construction systems. Despite progress, the number of certified buildings remains low, highlighting challenges in implementing these technologies.
Researchers analyzed the catastrophic failure of Japan's Misasa Railroad Bridge, revealing that flood hydrodynamic forces exceeded seismic design standards by nearly double. The study recommends increasing space under bridges to reduce submersion and designing structures to withstand overflow.
The study highlights opportunities for robotics to support human activities, foster innovation, and enhance monitoring. However, it also identifies potential threats such as exacerbating inequalities and diverting resources from tried-and-tested solutions. Researchers emphasize the need for early identification of negative impacts and ...
Researchers developed a computational model to determine optimal places for electric vehicle charging facilities and powerful stations without straining the local power grid. The model considers travel flow, user demand, and regional power infrastructure needs.
Researchers have developed a rigorous computer simulation technique to optimize LNG tank design, reducing construction costs while improving safety against catastrophic failures. The new model can be used to mitigate environmental and economic consequences of failure, enabling Australia to store more energy at the right time.
Using denitrifying bacteria in recycled coarse aggregate concrete increases its strength and durability, reducing water absorption by 33% and improving compressive strength by 30.3%. The novel method offers an environmentally friendly solution to enhance freeze-thaw resistance.
The NTU team has developed a process using industrial carbide sludge and urea to create biocement, which can strengthen soil, reduce water seepage, and even repair rock carvings. The biocement-making process generates fewer carbon emissions and requires less energy compared to traditional cement production methods.
A new study by Hiroshima University introduces a novel AI-based technique for estimating site amplification factors from microtremor data. The model demonstrated potential as a predictive tool for characterizing site amplification factors, but notes are needed for further optimization with a larger dataset.
Researchers from NTU Singapore have developed a new method using pyrolysis to convert challenging plastic waste into hydrogen and carbon nanotubes. The converted energy could power up to 1,000 five-room apartments for a year.
Researchers used machine learning to predict the most important factors underlying heavy metal pollution remediation in biochar-treated soils. Biochar nitrogen content and application rate were found to be the most crucial features in determining HM immobilization, with soil properties also playing a significant role.
Researchers at UBCO's School of Engineering have developed a new, faster method for analyzing toxic waste materials using fluorescence spectroscopy and convolutional neural networks. This method can detect key toxins such as naphthenic acids in oil sands samples, providing a low-cost alternative to current methods.
A new study by Rice University engineers suggests that wind and solar projects could eliminate the need for coal in Texas, drastically reducing pollution. The research uses optimization modeling to identify the least-cost combinations of proposed wind and solar projects that can replace coal-fired power generation.
A new research project aims to introduce low-carbon concrete elements with high resource utilisation by reusing entire concrete elements from existing buildings as load-bearing structures in new buildings. The entire value chain is represented in the project.