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Towards smart cities: Predicting soil liquefaction risk using artificial intelligence

A new AI-powered predictive model can generate comprehensive soil liquefaction risk maps, enabling urban planners and engineers to visualize high-risk areas and make informed decisions. The model achieved high accuracy in predicting soil classifications and N-values, validating its effectiveness in enhancing urban resilience.

SourceShibaura Institute of Technology·JournalSmart Cities·TypeComputational simulation/modeling·DateAug 1, 2024

New collaborative research generates lessons for more adaptive lake management

A new study by Utah State University explores the potential of collaborative modeling to improve reservoir operations and adapt to variable inflow and declining storage. The research involved 26 Colorado River Basin managers and experts who used Google Sheets during video calls to discuss consuming, banking, and trading water.

SourceUtah State University·JournalJournal of Water Resources Planning and Management·TypeObservational study·DateJul 30, 2024

Intelligent engineering: AI transforms spatial arrangement of hydropower underground facilities

Researchers developed a knowledge graph methodology to optimize spatial arrangement of underground powerhouses, enhancing digital intelligent design and operation. The approach addresses existing challenges in spatial arrangement, paving the way for improved accuracy and efficiency in hydropower engineering projects.

SourceTsinghua University Press·JournalJournal of Intelligent Construction·DateJul 25, 2024

First-ever hurricane evacuation order database may hold keys to future readiness

A new US-based database of hurricane evacuation orders can help leaders and communities increase resilience, create better policy, and ultimately reduce loss of life. The HEvOD database includes nationwide public-facing evacuation orders from 2014-2022, offering insights into effective strategies for future emergencies.

SourceUniversity of Virginia School of Engineering and Applied Science·JournalNature·TypeData/statistical analysis·DateJul 18, 2024

From seashells to cement, nature inspires tougher building material

Researchers at Princeton University have developed a new cement composite that mimics the strength and flexibility of seashells, increasing crack resistance and ductility. The composite, inspired by nacre's microstructure, exhibits improved fracture toughness and deformability, making it potentially tougher, safer, and more durable.

SourcePrinceton University, Engineering School·JournalAdvanced Functional Materials·TypeExperimental study·DateJun 11, 2024

PolyU study reveals effectiveness of GBGI infrastructure in mitigating urban heat, proposing nine-stage framework for development of a sustainable city

The study found that green infrastructures such as botanical gardens, wetlands, and street trees are effective in cooling urban heat, with temperature reductions ranging from 9.63°C to 17.7°C. A nine-stage framework has been proposed to facilitate GBGI implementation and maximize benefits.

SourceThe Hong Kong Polytechnic University·JournalThe Innovation·DateMay 23, 2024

High-speed railway track components inspection framework based on YOLOv8 with high-performance model deployment

A new study introduces a high-performance rail inspection system using YOLOv8 for fast and accurate defect detection. The system achieved up to 281.06 FPS on desktop systems and 200.26 FPS on edge computing platforms, increasing processing speeds while maintaining high accuracy levels.

SourceKeAi Communications Co., Ltd.·JournalHigh-speed Railway·TypeComputational simulation/modeling·DateApr 3, 2024

New traffic signal would improve travel time for both pedestrians and vehicles

A new traffic signal concept, known as the 'white phase,' uses autonomous vehicles to expedite traffic flow at intersections. The concept has been shown to improve travel time for both pedestrians and vehicles, especially when autonomous vehicles make up a higher percentage of traffic.

SourceNorth Carolina State University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateMar 12, 2024

Pinging pipes could help to identify lead water lines without excavation

A recent study by Drexel University shows that sound waves can reveal the composition of buried water lines, allowing for the speedy removal of lead service lines. The technique uses ultrasonic stress wave propagation to detect unique acoustic signatures for each type of pipe, making it a promising alternative to invasive testing methods.

SourceDrexel University·JournalJournal of Nondestructive Evaluation·TypeExperimental study·DateMar 7, 2024

The year of dragon: revisiting the Dragon King

A team of researchers identified a significant Mw7.5 earthquake in Japan as exhibiting characteristics of a 'seismic dragon king', demonstrating predictability. The study analyzed data from the Japan Meteorological Agency's focal mechanism catalogue using the load-unload response ratio (LURR) method.

SourceKeAi Communications Co., Ltd.·JournalEarthquake Research Advances·TypeCase study·DateFeb 25, 2024

NTU Singapore scientists develop artificial ‘worm gut’ to break down plastics

Researchers at NTU Singapore have developed an artificial 'worm gut' that can efficiently break down plastics using microbes found in worms' guts. The artificial system replicates the natural process of worms breaking down plastics and has potential for biotechnological approaches to process plastic waste.

SourceNanyang Technological University·JournalEnvironment International·TypeExperimental study·DateFeb 7, 2024

Rice engineers propose hybrid urban water sourcing model

Rice University engineers have developed a hybrid urban water supply system that combines conventional, centralized water sources with reclaimed wastewater to save energy and reduce freshwater use. The system is also more resilient against disruptions such as hurricanes and flooding.

SourceRice University·JournalNature Water·TypeData/statistical analysis·DateJan 16, 2024

Seattle metro residents near Amazon delivery stations face more pollution but order fewer packages

Researchers found that neighborhoods within 3 kilometers of an Amazon last-mile delivery station experience twice the amount of delivery van and truck traffic as farther-away areas. These neighborhoods are disproportionately home to low-income households and people of color, who order 14% fewer packages than average. The study highligh...

SourceUniversity of Washington·JournalResearch in Transportation Economics·DateDec 14, 2023

Disaster-proofing sustainable neighborhoods requires thorough long-term planning, new Concordia study shows

A new study by Caroline Hachem-Vermette and Kuljeet Singh analyzed the design and energy characteristics of various neighborhoods to assess their vulnerabilities to power outages. The researchers found that thoughtful design can reduce a neighborhood's energy vulnerability during disruptions, and they recommend modifications to shelter...

SourceConcordia University·JournalRenewable and Sustainable Energy Reviews·TypeData/statistical analysis·DateOct 3, 2023

How earthquakes impact hospitals: Insights from the 2023 Turkey earthquake sequences

A study examined the seismic performance of 12 hospitals in Turkey's southcentral region, finding that base-isolated structures performed better than fixed-base ones during the 2023 earthquakes. The report provides valuable insights for policymakers and engineers to enhance hospital resilience and disaster response strategies.

SourceKeAi Communications Co., Ltd.·JournalEarthquake Research Advances·TypeCase study·DateJun 18, 2023

Reading between the cracks: artificial intelligence can identify patterns in surface cracking to assess damage in reinforced concrete structures

Researchers develop AI-based method to quantify cracking patterns in reinforced concrete structures, enabling more accurate and efficient assessments of structural damage. The approach uses graph theory and machine learning algorithms to create a unique 'fingerprint' for each set of cracks, allowing for quick and consistent evaluations.

SourceDrexel University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateJun 1, 2023