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@PHDTHESIS{Feng:1024914,
author = {Feng, Dong},
othercontributors = {García-Hernandez, Alvaro and Oeser, Markus},
title = {{D}evelopment of numerical models and related dynamic
response studies in pavement engineering},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2026-00403},
pages = {1 Online-Ressource : Illustrationen},
year = {2026},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, Rheinisch-Westfälische Technische
Hochschule Aachen, 2026},
abstract = {This dissertation develops a coherent suite of numerical
modeling components for pavement engineering that spans
particle, mesoscale, and equipment–soil representations,
with the shared goal of improving model fidelity and
interpretability in computational studies relevant to
construction processes. The work advances (i) adhesive
contact modeling for discrete element analyses, (ii) virtual
aggregate generation with independently controlled
morphology for mesoscale mixture models, and (iii) dynamic
modeling of the compactor–soil system with explicit
treatment of mechanical inertia and delayed feedback
control. Each development is verified against targeted
benchmarks before being exercised in application-style
simulations, ensuring that the resulting insights rest on
demonstrably stable and transparent numerical formulations.
At the particle scale, a Johnson–Kendall–Roberts
(JKR)–based contact formulation is introduced in which the
surface energy parameter is prescribed as a function of
time, enabling controlled within-run evolution while
preserving the analytical structure of the classical contact
model. Canonical tests (ball–ball pull-off and gravity
loading) confirm force–displacement behavior and energy
conservation, after which the contact model is applied to
pre-compaction and rotating drum scenarios. Relative to a
constant parameter baseline, compaction impulses are
increased by $15.57\%/14.54\%$ (tamper–particle,
SMA-11/AC-11) and $13.04\%/14.87\%$ (screed–particle,
SMA-11/AC-11), demonstrating the quantitative sensitivity of
predicted effort to adhesion evolution. In rotating drum
sequences, the angle of repose decreases from 48.4° to
37.7° over 5 s under a prescribed parameter reduction path,
reflecting enhanced flowability captured by the
time-parameterized law. At the mesoscale, a multi-scale
algorithm generates virtual aggregates with independent
controls for shape (coarse scale), angularity (medium
scale), and surface texture (fine scale). Validation against
a 3D-scanned database demonstrates high statistical
fidelity, with Bhattacharyya coefficients of 0.9710 (true
sphericity), 0.9432 (angularity), and 0.9499
(arithmetic-mean roughness). The generated skeletons are
then assembled into asphalt concrete mixture models for
dynamic simulations, providing evidence that the
morphologically realistic, parameter-controllable
mesostructures are mechanically reliable for use in
mixture-level computations. At the equipment–soil level, a
three-degree-of-freedom compactor–soil coupling model is
established that explicitly includes the mechanical inertia
of the suspension. Accounting for inertia markedly prolongs
predicted transients (steady-state times increase from 8.03
s/4.57 s for frame/drum to 55.78 s/27.06 s), while a
displacement-based delayed feedback (DF) active suspension
reduces these to 14.31 s/7.67 s under representative gains.
These results clarify the distinct numerical roles of
inertia (response prolongation) and delay-based control
(response contraction) within the same modeling framework.
Taken together, the thesis consolidates a robust
computational foundation for pavement engineering analysis:
particle-scale contact is modeled with greater fidelity
within the discrete element method; mesoscale aggregate
morphology is generated under explicit, validated control;
and equipment–soil interaction is expressed with the
dynamic features required for construction-stage
simulations. Verification through targeted benchmarks and
application-style studies establishes the reliability of the
overall framework for realistic use.},
cin = {313410},
ddc = {624},
cid = {$I:(DE-82)313410_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2026-00403},
url = {https://publications.rwth-aachen.de/record/1024914},
}
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