  Acoustic neutrino detection is a promising approach for large-scale
ultra-high energy neutrino detectors in water. In this article, a Monte Carlo
simulation chain for acoustic neutrino detection devices in water is presented.
It is designed within the SeaTray/IceTray software framework. Its modular
architecture is highly flexible and makes it easy to adapt to different
environmental conditions, detector geometries, and hardware. The simulation
chain covers the generation of the acoustic pulse produced by a neutrino
interaction and the propagation to the sensors within the detector. In this
phase of the development, ambient and transient noise models for the
Mediterranean Sea and simulations of the data acquisition hardware, similar to
the one used in ANTARES/AMADEUS, are implemented. A pre-selection scheme for
neutrino-like signals based on matched filtering is employed, as it can be used
for on-line filtering. To simulate the whole processing chain for experimental
data, signal classification and acoustic source reconstruction algorithms are
integrated. In this contribution, an overview of the design and capabilities of
the simulation chain will be given, and some applications and preliminary
studies will be presented.
