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The Numerical INJection Analysis (NINJA) project is a collaborative effortbetween members of the numerical relativity and gravitational-wave astrophysicscommunities. The purpose of NINJA is to study the ability to detectgravitational waves emitted from merging binary black holes and recover theirparameters with next-generation gravitational-wave observatories. We reporthere on the results of the second NINJA project, NINJA-2, which employs 60complete binary black hole hybrid waveforms consisting of a numerical portionmodelling the late inspiral, merger, and ringdown stitched to a post-Newtonianportion modelling the early inspiral. In a "blind injection challenge" similarto that conducted in recent LIGO and Virgo science runs, we added 7 hybridwaveforms to two months of data recolored to predictions of Advanced LIGO andAdvanced Virgo sensitivity curves during their first observing runs. Theresulting data was analyzed by gravitational-wave detection algorithms and 6 ofthe waveforms were recovered with false alarm rates smaller than 1 in athousand years. Parameter estimation algorithms were run on each of thesewaveforms to explore the ability to constrain the masses, component angularmomenta and sky position of these waveforms. We also perform a large-scalemonte-carlo study to assess the ability to recover each of the 60 hybridwaveforms with early Advanced LIGO and Advanced Virgo sensitivity curves. Ourresults predict that early Advanced LIGO and Advanced Virgo will have avolume-weighted average sensitive distance of 300Mpc (1Gpc) for$10M_{\odot}+10M_{\odot}$ ($50M_{\odot}+50M_{\odot}$) binary black holecoalescences. We demonstrate that neglecting the component angular momenta inthe waveform models used in matched-filtering will result in a reduction insensitivity for systems with large component angular momenta. [Abstractabridged for ArXiv, full version in PDF]

The NINJA-2 project: Detecting and characterizing gravitational waveforms modelled using numerical binary black hole simulations