Results 101 to 110 of about 2,845,206 (298)

A NEW APPROACH FOR PARTICLE SIZE CHARACTERIZATION OF SOIL BASED ON DYNAMIC IMAGE ANALYSIS (DIA)

open access: yesRudarsko-geološko-naftni Zbornik, 2019
Particle size distribution (PSD) affects soil behaviour and plays a main role in geotechnical engineering. In site investigations of large engineering structures, in earthquakes and liquefaction research and before filter material selection, it is ...
Saman Tabrizi-Zarringhabaei   +3 more
doaj   +1 more source

Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley   +1 more source

Strength and deformation properties of fine-grained sulphide soil

open access: yes, 2005
Sulphide soil is the dominating fine-grained soil type along the east coast of the northern part of Sweden. A sulphide soil typically consists of clay and silt fractions with various and smaller content of sand.
Larsson, Rolf,   +2 more
core  

Analysis of a rapid load test on an instrumented bored pile in clay [PDF]

open access: yes, 2006
Rapid load testing methods for piled foundations are generally easier and quicker to mobilise than classic static tests, and are less complex to analyse than dynamic load tests.
Brown, M. J.; id_orcid   +2 more
core   +1 more source

When Nature Counts: Corporate Biodiversity Attention and Access to Bank Finance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper investigates whether corporate attention to biodiversity influences firms' access to bank loans, an overlooked question in the emerging biodiversity–finance literature. Using a novel, text‐based measure constructed from 446 biodiversity‐related keywords and applied to Chinese A‐share listed firms from 2000 to 2023, we show that ...
Ruxiao Li   +3 more
wiley   +1 more source

A comparative study between LSSVM, LSTM, and ANN in predicting the unconfined compressive strength of virgin fine-grained soil

open access: yesFrontiers in Built Environment
The present investigation introduces a robust soft computing model by comparing twelve least square support vector machine (LSSVM), six long short-term memory (LSTM), and thirty-six artificial neural network (ANN) models to predict the unconfined ...
Jitendra Khatti   +2 more
doaj   +1 more source

Geotechnical characteristics correlations for fine-grained soils

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
AbstractCompressibility and shear strength are the principal geotechnical engineering properties of soils, which control the stability of a soil mass under structural loads. Therefore, it is always required to be measured before the design of the foundation of any structure.
openaire   +1 more source

DURABILITY PERFORMANCE OF CEMENTITIOUSLY STABILIZED LAYERS [PDF]

open access: yes, 2012
The ability to retain stability and integrity over years of exposure to the destructive forces of weathering is one of the most important aspects of cementitiously stabilized layers (CSL) in pavement design.
Su, Zhipeng
core  

Modified residual soil for the fine-grained layer of capillary barriers

open access: yes, 2005
[THIS THESIS CONSISTS OF TWO (2) PARTS – THIS IS PART 1]. Capillary barrier, which is commonly defined as an earthen cover system consisting of a fine-grained soil overlying coarse-grained soil, has potential to be used as a slope protection technique ...
I Gbe Budi Indrawan
core   +1 more source

Subset Feature Learning for Fine-Grained Category Classification [PDF]

open access: yes, 2015
Fine-grained categorisation has been a challenging problem due to small inter-class variation, large intra-class variation and low number of training images. We pro-pose a learning system which first clusters visually similar classes and then learns deep
Sanderson, Conrad   +8 more
core   +1 more source

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