Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Seunghee Park"'
Autor:
Aron Berhanu Degefa, Geonyeol Jeon, Sooyung Choi, JinYeong Bak, Seunghee Park, Hyungchul Yoon, Solmoi Park
Publikováno v:
International Journal of Concrete Structures and Materials, Vol 18, Iss 1, Pp 1-12 (2024)
Abstract Supplementary cementitious materials (SCMs) play an essential role in sustainable construction due to their potential to reduce carbon emissions, promote circular economy principles, and enhance the properties of concrete. However, the inher
Externí odkaz:
https://doaj.org/article/c29d2551c5ab443895ad6dda7260d992
Publikováno v:
Journal of CO2 Utilization, Vol 88, Iss , Pp 102943- (2024)
This study investigates the impact of fly ash on hydration and carbonation processes in carbonation-cured fly ash cements. Cement paste samples with fly ash replacement levels of 0 %, 5 %, 10 % and 30 % underwent carbonation curing for 28 days. Resul
Externí odkaz:
https://doaj.org/article/02602e669d9842b0ab6fbf07eaf5d366
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103628- (2024)
Satellite data are essential during wildfires for understanding its adverse effects and improving the effectiveness of rapid disaster management. However, existing techniques used for damage assessments are inaccurate and lack automation. In this stu
Externí odkaz:
https://doaj.org/article/038adf1ba18e4f93bdd84d9c13dd5e62
Publikováno v:
Developments in the Built Environment, Vol 15, Iss , Pp 100205- (2023)
Sulfate attack on concrete induces volumetric changes resulting in a severe damage to the structure. The structural deterioration can be coupled with carbonation in practice, while such coupled effect is relatively unknown. Herein, thermodynamic calc
Externí odkaz:
https://doaj.org/article/984a16a7e4474f42bf830f74f62ef416
Publikováno v:
IEEE Access, Vol 10, Pp 66061-66071 (2022)
An effective forest-fire response is critical for minimizing the losses caused by forest fires. The purpose of this study is to construct a model for early fire detection and damage area estimation for response systems based on deep learning. First,
Externí odkaz:
https://doaj.org/article/fe78b4338ef245598d9f700e978b1501
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103052- (2022)
Owing to abnormal climate phenomena worldwide, forests are becoming dry and heat waves have started to occur, increasing the damage caused by wildfires. In addition to causing significant human and material damage, wildfires are also a major cause of
Externí odkaz:
https://doaj.org/article/ce8623225e234a96b615a3e78c88efc3
Publikováno v:
Sensors, Vol 22, Iss 19, p 7622 (2022)
Building information modeling (BIM), a common technology contributing to information processing, is extensively applied in construction fields. BIM integration with augmented reality (AR) is flourishing in the construction industry, as it provides an
Externí odkaz:
https://doaj.org/article/3745f25ab5a240df80ca3fbc768c186e
Autor:
Kamasani Chiranjeevi Reddy, Joonho Seo, H. N. Yoon, Seonhyeok Kim, G. M. Kim, H. M. Son, Seunghee Park, Solmoi Park
Publikováno v:
Materials, Vol 15, Iss 17, p 5873 (2022)
The phase changes in alkali-activated slag samples when exposed to supercritical carbonation were evaluated. Ground granulated blast furnace slag was activated with five different activators. The NaOH, Na2SiO3, CaO, Na2SO4, and MgO were used as activ
Externí odkaz:
https://doaj.org/article/afa8fa5b9a394b8095064ad564be2862
Publikováno v:
Sensors, Vol 22, Iss 3, p 1005 (2022)
The free cantilever method (FCM) is a bridge construction method in which the left and right segments are joined in sequence from a pier without using a bottom strut. To support the imbalance of the left and right moments during construction, tempora
Externí odkaz:
https://doaj.org/article/3bff5e21394a4f159d5c8fde921838e0
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3985 (2021)
Given the explosive growth of information technology and the development of computer vision with convolutional neural networks, wildfire field data information systems are adopting automation and intelligence. However, some limitations remain in acqu
Externí odkaz:
https://doaj.org/article/b898ff92e3744fe5af5af45e11a093a3